Answer:
Step-by-step explanation:
Given
There are 52 cards in total
there are total of 13 pairs of same cards with each pair containing 4 cards
Probability of getting a pair or three of kind card=1-Probability of all three cards being different
Probability of selecting all three different cards can be find out by selecting a card from first 13 pairs and remaining 2 cards from remaining 12 pairs i.e.
[tex]=\frac{52\times 48\times 44}{52\times 51\times 50}[/tex]
for first card there are 52 options after choosing first card one pair is destroyed as we have to select different card .
For second card we have to select from remaining 12 pairs i.e. 48 cards and so on for third card.
Required Probability is [tex]=1-\frac{52\times 48\times 44}{52\times 51\times 50}[/tex]
[tex]=\frac{22776}{132600}[/tex]
The following questions refer to the CRT Technologies project selection example presented in this chapter. Formulate a constraint to implement the conditions described in each of the following statements. a. Out of projects 1, 2, 4, and 6, CRT’s management wants to select exactly two projects. b. Project 2 can be selected only if project 3 is selected and vice-versa. c. Project 5 cannot be undertaken unless both projects 3 and 4 are also undertaken. d. If projects 2 and 4 are undertaken, then project 5 must also be undertaken
This ensures that if both project 2 and project 4 are selected, project 5 must also be selected. Since x5 is a binary variable, 2x5 is equivalent to x5, ensuring that project 5 is selected when the condition is met. (option d)
Let's formulate constraints for each of the given statements:
a. Out of projects 1, 2, 4, and 6, CRT’s management wants to select exactly two projects.
Let [tex]\(x_i\)[/tex] be a binary decision variable representing whether project i is selected or not, where [tex]\(i = 1, 2, 4, 6\).[/tex]
The constraint can be formulated as:
[tex]\[x_1 + x_2 + x_4 + x_6 = 2\][/tex]
This ensures that exactly two out of the listed projects are selected.
b. Project 2 can be selected only if project 3 is selected and vice-versa.
Let [tex]\(x_2\) and \(x_3\)[/tex] be binary decision variables representing whether project 2 and project 3 are selected, respectively.
The constraints can be formulated as:
[tex]\[x_2 \leq x_3\]\[x_3 \leq x_2\][/tex]
These constraints ensure that if project 2 is selected, project 3 must also be selected, and vice versa.
c. Project 5 cannot be undertaken unless both projects 3 and 4 are also undertaken.
Let [tex]\(x_3\), \(x_4\), and \(x_5\)[/tex] be binary decision variables representing whether project 3, project 4, and project 5 are selected, respectively.
The constraint can be formulated as:
[tex]\[x_5 \leq x_3 + x_4\][/tex]
This ensures that if project 5 is selected, both project 3 and project 4 must also be selected.
d. If projects 2 and 4 are undertaken, then project 5 must also be undertaken.
Let [tex]\(x_2\), \(x_4\), and \(x_5\)[/tex] be binary decision variables representing whether project 2, project 4, and project 5 are selected, respectively.
The constraint can be formulated as:
[tex]\[x_2 + x_4 \leq 2x_5\][/tex]
a tree casts a shadow 8 feet long. A 6-foot Man cast a shadow 4 feet long. The triangle formed by the tree and its shadow is similar to the triangle formed by the man and his shadow. How tall is the tree?
Answer:
12 feet
Step-by-step explanation:
Draw a diagram (see picture below). The tree and its shadow is one triangle, the man and its shadow is another triangle. We assume both are right triangles because people and trees stand vertical.
Create a proportion to solve. Put the missing value in a numerator.
Tree height / Tree shadow = Man height / Man shadow
[tex]\frac{x}{8} =\frac{6}{4}[/tex]
Solve using cross multiplication. Multiply x by 4. Multiply 6 by 8.
4x = 48 Divide both sides by 4 to isolate x.
x = 12 Height of tree
The tree is 12 feet tall.
A numerical description of the outcome of an experiment is called a
a. descriptive statistic.
b. probability function.
c. variance.
d. random variable.
Answer: d. random variable.
Step-by-step explanation:
A random variable is a numerical description of outcomes of an experiment, it can be used to represent the possible values of a past experiment or yet-to-be-performed experiments. It is a variable whose values depends on outcome of a random occurrence. Random variables also allows the calculation of probability of an occurrence or result in a particular experiment.
The numerical description of the outcome of an experiment is best described as a random variable. It is not referred to as a descriptive statistic, a probability function, or variance.
Explanation:In statistics, a numerical description of the outcome of an experiment is referred to as a random variable. The term random variable refers to a function that assigns a real number to each outcome of an experiment conducted according to a certain probability distribution. This term is central to probability theory and statistics, in which numerical results of random variables are analyzed to understand underlying processes or to make predictions.
On the other hand, descriptive statistics summarize and organize characteristics of a data set. A probability function is a mathematical function that provides the probabilities of occurrence of different possible outcomes. Variance is a measurement of spread between numbers in a data set.
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a. Write an equation that represents the sum of the angle measures of the triangle.
b. Use your equation and the equation shown to find the values of x and y.
The Triangle Angle Sum Theorem states that the sum of interior angles in any triangle is always 180 degrees. Represented by the equation x + y + z = 180°, it allows for solving missing angles in a triangle using x = 180° - y - z or similar expressions.
Understanding the Triangle Angle Sum Theorem:
In any triangle, regardless of its shape or size, the sum of the interior angles always equals 180 degrees. This is known as the Triangle Angle Sum Theorem.
This theorem is a fundamental property of triangles and has numerous applications in geometry and other mathematical fields.
Representing the Angle Sum with an Equation:
Let's use variables to represent the angle measures of a triangle:
Angle 1 = x
Angle 2 = y
Angle 3 = z
According to the Triangle Angle Sum Theorem, the equation becomes:
x + y + z = 180°
Solving for Missing Angles:
This equation can be used to solve for any missing angle if we know the values of the other two angles.
For example, if we know the measures of angles y and z, we can find x using:
x = 180° - y - z
Similarly, we can find y or z if we know x and the other angle.
Example:
Consider a triangle with angles x = 50°, y = 70°, and z unknown.
Using the equation:
z = 180° - x - y = 180° - 50° - 70° = 60°
The equation that represents the sum of the angle measures of the triangle is 2y + x = 198.
The value of x is 86 and the value of y is 56.
A)
The sum of the interior angles of a triangle adds up to 180 degrees.
Hence, the equation that represents the sum of the angle measures of the given triangle is:
( y - 18 ) + y + x = 180
Simplifying; we get:
y + y + x = 180 + 18
2y + x = 198
B)
To solve for the values of x and y, we solve the system of equations:
2y + x = 198
3x - 5y = -22
Solve for x in equation 1:
2y + x = 198
x = -2y + 198
Plug x = -2y + 198 into equation 2 and solve for y:
3( -2y + 198 ) - 5y = -22
-6y + 594 - 5y = -22
-11y + 594 = -22
11y = 594 + 22
11y = 616
y = 616/11
y = 56
Now, plug y = 56 into equation 3 and solve for x:
x = -2y + 198
x = -2( 56 ) + 198
x = -112 + 198
x = 86
Therefore, the x = 86 and y = 56.
The missing image is uploaded below:
A fisherman catches fish according to a Poisson process with rate lambda = 0.6 per hour. The fisherman will keep fishing for two hours. At the end of the second hour, if he has caught at least one fish, he quits; Otherwise, he continues until he catches one fish. (a) Find the probability that he stays for more than two hours. (b) Find the probability that the total time he spends fishing is between two and five hours. (c) Find the expected number offish that he catches. (d) Find the expected total fishing time, given that he has been fishing for four hours.
The probability that the fisherman stays for more than two hours is approximately 0.4512. The probability that the total time the fisherman spends fishing is between two and five hours is approximately 0.5043. The expected number of fish that the fisherman catches is 0.6.
Explanation:To solve this problem, we can use the concept of a Poisson process and the properties of the Poisson distribution.
(a) We want to find the probability that the fisherman stays for more than two hours. Since the fisherman quits at the end of the second hour if he has caught at least one fish, he will stay for more than two hours only if he hasn't caught any fish in the first two hours. Using the Poisson distribution, the probability of catching zero fish in two hours is given by P(X=0)=e^(-lambda*t)*(lambda^0)/(0!)=e^(-0.6*2)≈0.5488. Therefore, the probability that the fisherman stays for more than two hours is 1 - P(X=0) = 1 - 0.5488 ≈ 0.4512.
(b) The total time the fisherman spends fishing can be between two and five hours. This can happen in three ways: fishing for 2 hours without catching fish (P(X=0)) and then fishing for 3 more hours until catching the first fish (P(X=1)); fishing for 3 hours without catching fish (P(X=0)) and then fishing for 2 more hours until catching the first fish (P(X=1)); fishing for 4 hours without catching fish (P(X=0)) and then fishing for 1 more hour until catching the first fish (P(X=1)). Using the Poisson distribution, we can calculate the probabilities for each case: P(X=0) = e^(-0.6*2) ≈ 0.5488, P(X=1) = e^(-0.6*3)*(0.6^1)/(1!) ≈ 0.3293. Adding up these probabilities, we get P(X=0)*P(X=1) + P(X=0)*P(X=1) + P(X=0)*P(X=1) = 0.5488*0.3293 + 0.5488*0.3293 + 0.5488*0.3293 ≈ 0.5043. Therefore, the probability that the total time the fisherman spends fishing is between two and five hours is approximately 0.5043.
(c) The expected number of fish that the fisherman catches can be found using the formula for the mean of a Poisson distribution, which is equal to the rate parameter lambda. In this case, lambda = 0.6, so the expected number of fish is 0.6.
(d) To find the expected total fishing time given that the fisherman has been fishing for four hours, we need to condition on the event that the fisherman hasn't caught any fish in the first four hours. Using the Poisson distribution, the probability of catching zero fish in four hours is given by P(X=0) = e^(-lambda*t)*(lambda^0)/(0!) = e^(-0.6*4) ≈ 0.3012. Therefore, the expected total fishing time given that the fisherman has been fishing for four hours is 4 + (1/P(X=0)) = 4 + (1/0.3012) ≈ 7.32 hours.
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Clare is using little wooden cubes with edge length 1/2 inch to build a larger cube that has edge length 4 inches. How many little cubes does she need? explain your reasoning
To form a larger 4-inch cube, Clare will need 512 wooden cubes with an edge length of 1/2 inch. We find this by dividing the volume of the large cube (64 cubic inches) by the volume of the small one (1/8 cubic inch).
Explanation:Clare is building a larger cube with an edge length of 4 inches, consisting of smaller wooden cubes each with an edge length of 1/2 inch. To solve this problem, we need to find out how many smaller cubes make up the volume of the larger cube. The volume of a cube is found by multiplying the length of an edge by itself three times, or cube the edge length.
So first, we calculate the volume of the large cube which is 4in * 4in * 4in = 64 cubic inches.
Next, we calculate the volume of a small cube which is (1/2in) * (1/2in) * (1/2in) = 1/8 cubic inch.
Finally, we divide the volume of the large cube by the volume of the small cube to find out how many small cubes are needed. Thus, 64 cubic inches / 1/8 cubic inch = 512. So, Clare will need 512 small wooden cubes to construct her larger cube.
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To find the number of little cubes needed, divide the volume of the larger cube by the volume of each little cube.
Explanation:To find the number of little cubes Clare needs to build a larger cube with an edge length of 4 inches, we need to
determine the volume of the larger cube and divide it by the volume of each little cube.
The volume of the larger cube is calculated by multiplying the length of one side by itself three times (4 x 4 x 4 = 64 cubic inches).
The volume of each little cube is calculated by multiplying the length of one side by itself three times (1/2 x 1/2 x 1/2 = 1/8 cubic inches).
To find the number of little cubes needed, we divide the volume of the larger cube by the volume of each little cube (64 / (1/8) = 512 little cubes).
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Compute Δy and dy for the given values of x and dx = Δx. (Round your answers to three decimal places.) y = x , x = 1, Δx = 1 Δy = dy =
Answer:
Δy = 1
dy = 1
Step-by-step explanation:
Data provided in the question:
dx = Δx
y = x
x = 1,
Δx = 1
Now,
we know,
Δy = f( x + Δx ) - f(x)
also, we have
y = f(x) = x
thus,
f( x + Δx ) = x + Δx
Therefore,
Δy = ( x + Δx ) - x
on substituting the respective values, we get
Δy = ( 1 + 1 ) - 1
or
Δy = 1
and,
dy = f'(x) = [tex]\frac{d(x)}{dx}[/tex]
or
dy = 1
A customer at a self -storage facility was offered a choice between a storage unit shaped like a cube and another unit is 2 feet longer,5 feet shorter than the first unit. The customer thinks that f the volume of the cube is x^3 the volume of the other unit would be x^3-4x^2-11x+30. Is the customer correct ?
Answer: No, the Volume is x^3 - 3x^2 - 10x
Step-by-step explanation:
Since the volume of the cubic storage unit is x^3
Therefore,
Length = x
Width = x
Height = x
For the new storage unit
Length = x + 2
Width = x
Height = x - 5
Volume = ( x + 2)(x)(x -5)
V = x (x^2 -3x - 10)
V = x^3 - 3x^2 - 10x
Therefore, the volume of the new storage unit is x^3 - 3x^2 - 10x
Answer:the customer is incorrect
Step-by-step explanation:
In a cube, all 4 sides are equal. The volume of a cube that has x as the length of each side would be x^3
If the customer thinks that f the volume of the cube is x^3, it means that each side is x. Then the other storage unit offered to the customer is 2 feet longer,5 feet shorter than the first unit. Its dimensions would be (x+ 2) feet, (x - 5) feet and x feet
The volume of the other storage unit should be
x[(x + 2)(x - 5)] = x(x^2 - 5x + 2x + 10)
= x(x^2 - 3x + 10)
= x^3 - 3x^2 + 10x
This question is to show that we can `recode' and model a situation that depends on nitely many past states as a homogeneous Markov chain. Suppose we model the daily weather as a Markov chain. The weather has just two states: cloudy and sunny. Suppose that if it is sunny today and was sunny yesterday then it will be sunny tomorrow with probability 0:6; if sunny today but cloudy yesterday then it will be sunny tomorrow with probability 0:5; if cloudy today but sunny yesterday then it will be sunny tomorrow with probability 0:4; if it was cloudy for the last two days then it will be sunny tomorrow with probability 0:2. Calculate the expected fraction of cloudy days.
Answer:
F=y+z=4/6.25
Step-by-step explanation:
First, we have to consider that in the problem model we have only two possible states: sunny and cloudy. Now, according to the information given in the statement, we also have the behavior of the last two days. In any case, we can have four possible transitional states:
Today-Yesterday(S=Sunny, C=cloudy)
1) ST and SY (Sunny today and sunny yesterday)
2) ST and CY.
3) CT and SY.
4) CT and CY.
Now, according to the statement, the probabilities given for the four states can be expressed by the following matrix:
[tex]\left[\begin{array}{cccc}0.6&0&(1-0.6)&0\\0.5&0&(1-0.5)&0\\0&0.4&0&(1-0.4)\\0&0.2&0&(1-0.2)\end{array}\right][/tex]
Now, making w, x, y, z as the transition probabilities for the four states mentioned, we then have that:
x=0.6w+0.5x
w=1.25x (1)
x=0.4y+0.2z (2)
y=0.4w+0.5x
y= 0.4(1.25x)+0.5x=x
y=x (3)
replacing 3 in 2:
y=0.4y+0.2x
x=3y (4)
And as w+x+y+z= 1 (no more possible combinations):
w+x+y+z=1 (5)
So, replacing the expressions obtained previously in equation 5, we have finally that:
1.25x+x+x+3x=1
x=1/6.25=y
z=3x=3/6.25
So, the fraction of sunny days is given by:
F=y+z=4/6.25
Which of the following statements are true of hypothesis tests?
1.You must state null and alternative hypotheses in the context of the problem.
2.You must state a significance level so you can decide if a given P-value gives you evidence to reject the null hypothesis.
3.You must state a conclusion in the context of the problem.
In hypothesis testing, it is critical to state the null and alternative hypotheses, choose an appropriate significance level, and conclude in the context of the problem. Decisions must reflect the probabilistic nature of the tests, with careful consideration of Type I and Type II errors.
In hypothesis testing, the following statements are indeed true:
You must state null and alternative hypotheses in the context of the problem.
You must state a significance level so you can decide if a given P-value provides evidence to reject the null hypothesis.
You must state a conclusion in the context of the problem.
When conducting a hypothesis test, one must also be mindful not to claim that a hypothesis is definitively proven true or false due to the probabilistic nature of hypothesis testing. Instead, you can infer whether there is sufficient evidence to support the alternative hypothesis if the null hypothesis is rejected. However, remember that making a decision at a certain significance level involves a trade-off between Type I and Type II errors.
A rancher purchased an SUV for $33,714 and made a down payment of 15% of the cost. The balance was financed for 4 years at an annual interest rate of 7%. Find the monthly truck payment.
Formula for monthly payment is:
A = P x (r(1+r)^t)/((1+r)^t-1) where P is the amount financed, r is the interest rate divided by 12 and t is the amount of time for the loan in months.
P = 33714 x 0.85 = 28656.90
A = 28656.90 x (0.07/12 (1+0.07/12)^48) / (1 +0.07/12)^48 - 1)
A = $686.23
Ron finds 9 books at a bookstore that he would like to buy, but he can afford only 5 of them. In how many ways can he make his selection? How many ways can he make his selection if he decides that one of the books is a must?
a. 3024; 1680
b. 7560; 840
c. 120; 1680
d. 126; 70
Answer:
d. 126; 70
Step-by-step explanation:
given that Ron finds 9 books at a bookstore that he would like to buy, but he can afford only 5 of them.
Out of 9 books he has to select 5 of them
Here selection of books can be done in any order. Hence order does not matter
No of ways he selects 5 books out of 9 books = 9C5
= 126
Part II
One book is a must
Hence he has options only 4 books from the remaining 8.
No of ways when one book is compulsory = selecting 3 books from 8 books
= 8C4
= 70
Option d is right.
Zener cards are often used to test the "psychic ability" of individuals. In the Zener deck, there are five different patterns displayed, and each has a 1/5 probability of being drawn from a well-shuffled deck. The five patterns are: circle, plus sign, wavy lines, empty box, and star. One hundred trials were conducted and your very impressive friend guessed right on 41 of those trials. Given this sample, can we use the normal approximation to the binomial?
Answer:
We need to check the conditions in order to use the normal approximation.
[tex]np=100*0.2=20 \geq 10[/tex]
[tex]n(1-p)=100*(1-0.2)=80 \geq 10[/tex]
If we check the conditions with the estimated proportion we got:
[tex]n\hat p=100*0.41=41 \geq 10[/tex]
[tex]n(1-\hat p)=100*(1-0.41)=59 \geq 10[/tex]
So we see that we satisfy the conditions and then we can apply the approximation.
Step-by-step explanation:
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Let X the random variable of interest, on this case we now that:
[tex]X \sim Binom(n=100, p=0.2)[/tex]
The probability mass function for the Binomial distribution is given as:
[tex]P(X)=(nCx)(p)^x (1-p)^{n-x}[/tex]
Where (nCx) means combinatory and it's given by this formula:
[tex]nCx=\frac{n!}{(n-x)! x!}[/tex]
We need to check the conditions in order to use the normal approximation.
[tex]np=100*0.2=20 \geq 10[/tex]
[tex]n(1-p)=100*(1-0.2)=80 \geq 10[/tex]
If we check the conditions with the estimated proportion we got:
[tex]n\hat p=100*0.41=41 \geq 10[/tex]
[tex]n(1-\hat p)=100*(1-0.41)=59 \geq 10[/tex]
So we see that we satisfy the conditions and then we can apply the approximation.
Solve the proportion. When necessary, round to the nearest tenth? 36/j = 7/20
Work is provided in the image attached.
The number of customers that enter a store during one day in an example of :
-a continuous random variable
-a discrete random variable
-either a continuous or a discrete random variable, depending on the number of the customers
-either a continuous or a discrete random variable, depending on the gender of the customers
Answer:
a discrete random variable
Step-by-step explanation:
You can only have a natural number of clients entering the store.
For example, 0 clients, 1 client, 2 clients, 100 clients, ...
You cannot have a decimal value, for example, 0.5 clients.
So the correct answer is:
a discrete random variable
A rock thrown vertically upward from the surface of the moon at a velocity of 36m/sec reaches a height of s = 36t - 0.8 t^2 meters in t sec.
a. Find the rock's velocity and acceleration at time t.
b. How long does it take the rock to reach its highest point?
c. How high does the rock go?
d. How long does it take the rock to reach half its maximum height?
e. How long is the rock a loft?
Answer:
a. The rock's velocity is [tex]v(t)=36-1.6t \:{(m/s)}[/tex] and the acceleration is [tex]a(t)=-1.6 \:{(m/s^2)}[/tex]
b. It takes 22.5 seconds to reach the highest point.
c. The rock goes up to 405 m.
d. It reach half its maximum height when time is 6.59 s or 38.41 s.
e. The rock is aloft for 45 seconds.
Step-by-step explanation:
Velocity is defined as the rate of change of position or the rate of displacement. [tex]v(t)=\frac{ds}{dt}[/tex]Acceleration is defined as the rate of change of velocity. [tex]a(t)=\frac{dv}{dt}[/tex]a.
The rock's velocity is the derivative of the height function [tex]s(t) = 36t - 0.8 t^2[/tex]
[tex]v(t)=\frac{d}{dt}(36t - 0.8 t^2) \\\\\mathrm{Apply\:the\:Sum/Difference\:Rule}:\quad \left(f\pm g\right)'=f\:'\pm g'\\\\v(t)=\frac{d}{dt}\left(36t\right)-\frac{d}{dt}\left(0.8t^2\right)\\\\v(t)=36-1.6t[/tex]
The rock's acceleration is the derivative of the velocity function [tex]v(t)=36-1.6t[/tex]
[tex]a(t)=\frac{d}{dt}(36-1.6t)\\\\a(t)=-1.6[/tex]
b. The rock will reach its highest point when the velocity becomes zero.
[tex]v(t)=36-1.6t=0\\36\cdot \:10-1.6t\cdot \:10=0\cdot \:10\\360-16t=0\\360-16t-360=0-360\\-16t=-360\\t=\frac{45}{2}=22.5[/tex]
It takes 22.5 seconds to reach the highest point.
c. The rock reach its highest point when t = 22.5 s
Thus
[tex]s(22.5) = 36(22.5) - 0.8 (22.5)^2\\s(22.5) =405[/tex]
So the rock goes up to 405 m.
d. The maximum height is 405 m. So the half of its maximum height = [tex] \frac{405}{2} =202.5 \:m[/tex]
To find the time it reach half its maximum height, we need to solve
[tex]36t - 0.8 t^2=202.5\\36t\cdot \:10-0.8t^2\cdot \:10=202.5\cdot \:10\\360t-8t^2=2025\\360t-8t^2-2025=2025-2025\\-8t^2+360t-2025=0[/tex]
For a quadratic equation of the form [tex]ax^2+bx+c=0[/tex] the solutions are
[tex]x_{1,\:2}=\frac{-b\pm \sqrt{b^2-4ac}}{2a}[/tex]
[tex]\mathrm{For\:}\quad a=-8,\:b=360,\:c=-2025:\\\\t=\frac{-360+\sqrt{360^2-4\left(-8\right)\left(-2025\right)}}{2\left(-8\right)}=\frac{45\left(2-\sqrt{2}\right)}{4}\approx 6.59\\\\t=\frac{-360-\sqrt{360^2-4\left(-8\right)\left(-2025\right)}}{2\left(-8\right)}=\frac{45\left(2+\sqrt{2}\right)}{4}\approx 38.41[/tex]
It reach half its maximum height when time is 6.59 s or 38.41 s.
e. It is aloft until s(t) = 0 again
[tex]36t - 0.8 t^2=0\\\\\mathrm{Factor\:}36t-0.8t^2\rightarrow -t\left(0.8t-36\right)\\\\\mathrm{The\:solutions\:to\:the\:quadratic\:equation\:are:}\\\\t=0,\:t=45[/tex]
The rock is aloft for 45 seconds.
Final answer:
The question explores kinematic principles by calculating the velocity, acceleration, time to reach the highest point, maximum height, time to reach half the maximum height, and total duration aloft for a rock thrown vertically on the moon, giving us the values as follows upon solving.
v(t) = (36 - 1.6t) m/s
a(t) = -1.6 m/s²
t_highest = 22.5 seconds
h_max = 405 meters
t_half ≈ 11.6 seconds
t_total = 45 seconds
Explanation:
The question involves calculating velocity, acceleration, and the dynamics of a rock thrown vertically on the moon, illustrating concepts from kinematic equations in physics.
a. Velocity and acceleration at time t
The velocity of the rock at time t is given by the derivative of the position function s = 36t - 0.8t², which is v(t) = 36 - 1.6t Acceleration, being the derivative of velocity, is constant at -1.6 m/s², due to moon's gravity.
b. Time to reach the highest point
At the highest point, the velocity is 0. Setting v(t) = 0, we find t = 22.5 seconds.
c. Height at the highest point
Plugging t = 22.5 into the position function, we find the maximum height is 405 meters.
d. Time to reach half the maximum height
Setting s = 202.5 meters in the original equation and solving for t, we find two values, but the relevant one is approximately 11.6 seconds.
e. Total duration aloft
To find when the rock returns to the surface, set s = 0 in the original equation and solve for t, giving a total duration of 45 seconds.
If a couple were planning to have three children, the sample space summarizing the gender outcomes would be: bbb, bbg, bgb, bgg, gbb, gbg, ggb, ggg.A.) construct a similiar sample space for the possible weight outcomes (using o for overweight and u for underweight) of two children.B.) Assuming that the outcomes listed in part (a) were equally likely, find the probablity of getting two underweight children.C.) Find the probability of getting one overweight child and one underweight child.
Answer:
(A) oo, ou, uo, uu
(B) 1/4
(C) 1/2
Step-by-step explanation:
(A) When using o for overweight and u for underweight, there are four possible weight outcomes which are; oo, ou, uo, uu
The sample space would be: oo, ou, uo, uu
This implies there are 4 possible outcomes.
(B) From the sample space, the event, getting two underweight weight children occurs only once, uu. The probability of getting two underweight children = 1/4
(C) From the sample space, the event, getting one overweight child and one underweight child occurs twice, ou, uo.
The probability of getting one overweight child and one underweight child = 2/4 = 1/2
What is the selling price of merchandise listed at $5,900 if discounts of 15%, 10%, and 4% are given?
Answer:
after 15%, discount = $5,015
after 10%, discount = $5,310
after 4%, discount= $5,664
Step-by-step explanation:
1.discount of 15 % of the price listed
so 15 % of $5,900 will be= 15/100 x 5900 = 885 $
so after discounting the price =$5,900 - $885 = $5,015
2. discount of 10 % of the price listed
so 10 % of $5,900 will be= 10/100 x 5900 = 590 $
so after discounting the price =$5,900 - $590 = $5,310
3. discount of 4 % of the price listed
so 4 % of $5,900 will be= 4/100 x 5900 = 236 $
so after discounting the price =$5,900 - $236 = $5,664
a 62 year old man owns a non-tax qualified variable annuity. if this indvidual makes a lump-sum withdrawal from the plan, this would:
Answer:
If the 62 year old man makes a lump-sum withdrawal from the plan or tax structure, his investments would start incurring ordinary income taxes without attracting any other form of penalties. However, it has to be noted that prior to withdrawal of the lump-sum, his investments would grow without incurring income taxes.
PLEASE HELP ME!!!
What transformations are represented by the following coordinate graphing? (geometry)
(a,b) --> (a,-b)
(a,b) --> (a, b+5)
(a,b) --> (b,-a)
Step-by-step explanation:
(a, b) → (a, -b)
This is a reflection across the x-axis.
(a, b) → (a, b+5)
This is a translation 5 units up.
(a, b) → (b, -a)
This is a rotation of 270° about the origin.
Nationwide, the average waiting time until a electric utility customer service representative answers a call is 200 seconds per call. The Gigantic Kilowatt Energy Company took a sample of 30 calls and found that, on the average, they answered in 120 seconds per call. Moreover, it is know that the standard deviation of the times for all such calls is 25 seconds. At the .05 significance level, is there evidence that this company's mean response time is lower than the average utility?
Answer:
[tex]z=\frac{120-200}{\frac{25}{\sqrt{30}}}=-17.527[/tex]
[tex]p_v =P(Z<-17.527) \approx 0[/tex]
If we compare the p value and the significance level given [tex]\alpha=0.05[/tex] we see that [tex]p_v<<\alpha[/tex] so we can conclude that we have enough evidence to reject the null hypothesis.
We can say that at 5% of significance the mean average waiting time is significantly less than 200 seconds per call.
Step-by-step explanation:
Data given and notation
[tex]\bar X=120[/tex] represent the sample mean
[tex]\sigma=25[/tex] represent the population standard deviation
[tex]n=30[/tex] sample size
[tex]\mu_o =200[/tex] represent the value that we want to test
[tex]\alpha=0.05[/tex] represent the significance level for the hypothesis test.
z would represent the statistic (variable of interest)
[tex]p_v[/tex] represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the population mean is less than 200, the system of hypothesis are :
Null hypothesis:[tex]\mu \geq 200[/tex]
Alternative hypothesis:[tex]\mu < 200[/tex]
Since we know the population deviation, is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:
[tex]z=\frac{\bar X-\mu_o}{\frac{\sigma}{\sqrt{n}}}[/tex] (1)
z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
[tex]z=\frac{120-200}{\frac{25}{\sqrt{30}}}=-17.527[/tex]
P-value
Since is a one-side left tailed test the p value would given by:
[tex]p_v =P(Z<-17.527) \approx 0[/tex]
Conclusion
If we compare the p value and the significance level given [tex]\alpha=0.05[/tex] we see that [tex]p_v<<\alpha[/tex] so we can conclude that we have enough evidence to reject the null hypothesis.
We can say that at 5% of significance the mean average waiting time is significantly less than 200 seconds per call.
The answer is 16, I am just not sure how to arrive at that answer.
Step-by-step explanation:
∑ (4ⁿ⁺¹ / 5ⁿ)
Rewrite 4ⁿ⁺¹ as 4 (4ⁿ).
∑ 4 (4ⁿ / 5ⁿ)
∑ 4 (4/5)ⁿ
This is a geometric series. The sum of an infinite geometric series is:
S = a / (1 −r)
where a is the first term and r is the common ratio.
Here, the first term is 16/5 (because n starts at 1), and the common ratio is 4/5.
S = 16/5 / (1−4/5)
S = 16/5 / (1/5)
S = 16
For women aged 18-24, systolic blood pressures are normally distributed with a mean of 114.8 mm Hg and a standard deviation of 13.1 mm Hg. If 23 women aged 18-24 are randomly selected, find the probability that their mean systolic blood pressure is between 119 and 122 mm Hg. Round to four decimal places.
The probability is approximately 0.0833, indicating an 8.33% chance that the mean falls between 119 and 122 mm Hg.
To determine the probability that the mean systolic blood pressure of 23 randomly selected women aged 18-24 falls between 119 and 122 mm Hg, we utilize the Central Limit Theorem and z-scores.
First, we calculate the standard error of the mean (SEM) using the population standard deviation and the sample size. With a mean of 114.8 mm Hg and a standard deviation of 13.1 mm Hg, the SEM is approximately 2.7316 mm Hg.
Then, we standardize the values of 119 and 122 mm Hg into z-scores. For 119 mm Hg, the z-score is approximately 0.3206, and for 122 mm Hg, it's approximately 0.5496.
Using a standard normal distribution table or calculator, we find the area under the curve between these z-scores, representing the probability. Subtracting the cumulative probability of the lower z-score from the higher z-score gives us approximately 0.0833. This indicates that there's an 8.33% chance that the mean systolic blood pressure of the 23 randomly selected women aged 18-24 falls between 119 and 122 mm Hg. Thus, within the specified range, there's a moderate probability of occurrence based on the given parameters of the population distribution.
1) The sum of a sequence of consecutive integers is 342. The largest integer in the sequence is 3 times greater than the smallest integer in the sequence. What is the smallest integer and how many integers are in the sequence?
Due tmr tysm
Answer:
The smallest integer is 9 and there are 19 terms in the sequence.
Step-by-step explanation:
Arithmetic Sequence
The general term of an arithmetic sequence is
[tex]\displaystyle a_n=a_1+(n-1)r\ ........[eq\ 1][/tex]
And the sum of all n terms is
[tex]\displaystyle s_n=\frac{a_1+a_n}{2}n...... [eq\ 2][/tex]
The sequence of the question complies with
[tex]\displaystyle s_n=342[/tex]
[tex]\displaystyle a_n=3a_1[/tex]
Using the last condition in eq 1 and knowing that r=1 (consecutive numbers)
[tex]\displaystyle a_n=a_1+n-1=3a_1[/tex]
Rearranging
[tex]\displaystyle 2a_1=n-1[/tex]
Using eq 2
[tex]\displaystyle \frac{a_1+a_n}{2}n=342[/tex]
Replacing the first condition
[tex]\displaystyle \frac{a_1+3a_1}{2}n=342[/tex]
Simplifying
[tex]\displaystyle 2a_1\ n=342[/tex]
Since
[tex]\displaystyle 2a_1=n-1[/tex]
We have
[tex]\displaystyle n(n-1)=342[/tex]
Factoring
[tex]\displaystyle n(n-1)=(19)(18)[/tex]
We find the number of terms
[tex]\displaystyle n=19[/tex]
The first term is
[tex]\displaystyle a_1=\ \frac{342}{38}=9[/tex]
Final answer:
The smallest integer is 6, and the sequence contains 19 terms.
Explanation:
To solve the problem about a sequence of consecutive integers where the sum is 342 and the largest integer is three times the smallest integer, we will use the formula for the sum of an arithmetic sequence and set up a system of equations. The sum of an arithmetic sequence is given by: S = ½ n(first integer + last integer), where S is the sum of the sequence, n is the number of terms, the first integer is a, and the last integer is l. We are given S = 342 and l = 3a.
Let's set up the system of equations:
S = ½ n(a + l)l = 3aS = 342By substituting l = 3a into the first equation, we get:
342 = ½ n(a + 3a)342 = ½ n(4a)Hence, n and a must be factors of 684 (since 342 = 2 × 171 = 4 × 342). Through trial and error or using a system of linear equations, we can find the appropriate values of n and a that will satisfy both the sum and the relationship between the smallest and largest integers.
Ultimately, we find that the smallest integer in the sequence is 6, and the sequence contains 19 terms.
Find the average value of the function over the given solid. The average value of a continuous function f(x, y, z) over a solid region Q is 1 V Q f(x, y, z) dV where V is the volume of the solid region Q. f(x, y, z) = x + y + z over the tetrahedron in the first octant with vertices (0, 0, 0), (2, 0, 0), (0, 2, 0) and (0, 0, 2).
Compute the volume of [tex]Q[/tex]:
[tex]\displaystyle\iiint_Q\mathrm dV=\int_0^2\int_0^{2-x}\int_0^{2-x-y}\mathrm dz\,\mathrm dy\,\mathrm dx=\frac43[/tex]
Integrate [tex]f(x,y,z)=x+y+z[/tex] over [tex]Q[/tex]:
[tex]\displaystyle\iiint_Qf(x,y,z)\,\mathrm dV=\int_0^2\int_0^{2-x}\int_0^{2-x-y}(x+y+z)\,\mathrm dz\,\mathrm dy\,\mathrm dx=2[/tex]
So the average value of [tex]f[/tex] over [tex]Q[/tex] is 2/(4/3) = 3/2.
To solve this mathematical problem, we need to understand the Average Value of a Continuous function.
What is the Average Value of a Continuous Function?
The average value of a continuous function is derived by taking the integral of the function over the interval. This is then divided using the length of that interval.
How do we find the average value of the function?To determine the average value of the function f(x, y, z), over the solid region named Q,
we can say:
[tex]\int\int\int _{Q}[/tex] dV = [tex]\int_{0}^{2} \int_{0}^{2-x} \int_{0}^{2-x-y}[/tex] dzdydx = 4/3
Integrating the above, we have
[tex]\int\int\int _{Q}[/tex] [tex]f(x,y,z)[/tex] dV = [tex]\int_{0}^{2} \int_{0}^{2-x} \int_{0}^{2-x-y}[/tex] (x+ y + z) dzdydx = 2
Therefore, the average value of the function f over the Solid region Q becomes:
2/ (4/3) = 1.5 or 3/2
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If X and Y are any random variables with E(X) = 5, E(Y) = 6, E(XY) = 21, V(X) = 9 and V(Y) = 10, then the relationship between X and Y is a:
-strong positive relationship
-strong negative relationship
-weak positive relationship
-weak negative relationship
Answer:
We have a strong negative relationship between the variables.
Step-by-step explanation:
Given two random variables X and Y, it is possible to calculate the covariance as Cov(X, Y) = E(XY)-E(X)E(Y). We have E(X)=5, E(Y)=6 and E(XY)=21. Therefore Cov(X,Y)=21-(5)(6)=21-30=-9. On the other hand, we know that the correlation of X and Y is the number defined by [tex]Cov(X,Y)/\sqrt{Var(X)}\sqrt{Var(Y)}[/tex] and because in this particular case we have V(X)=9 and V(Y)=10, we have [tex]-9/\sqrt{9}\sqrt{10}[/tex] = -0.9487. Therefore, we have a strong negative relationship between the variables.
Final answer:
The X and Y variables have a strong negative relationship.
Explanation:
The X and Y variables have a strong negative relationship. This can be determined by analyzing the correlation coefficient, which indicates the strength and direction of the relationship between two variables.
In this case, since the correlation coefficient is significantly different from zero (positive or negative), we can conclude that there is a significant linear relationship between X and Y. The fact that the correlation coefficient is negative indicates that as X increases, Y tends to decrease, and vice versa.
Therefore, the correct answer is strong negative relationship.
In many population growth problems, there is an upper limit beyond which the population cannot grow. Many scientists agree that the earth will not support a population of more than 16 billion. There were 2 billion people on earth in 1925 and 4 billion in 1975. If is the population years after 1925, an appropriate model is the differential equationdy/dt=ky(16-y)Note that the growth rate approaches zero as the population approaches its maximum size. When the population is zero then we have the ordinary exponential growth described by y'=16ky. As the population grows it transits from exponential growth to stability.(a) Solve this differential equation.(b) The population in 2015 will be(c) The population will be 9 billion some time in the year
Answer:
a) (y-16)/y = -7*e∧(-0.016946*t)
b) y = 6.34
c) t = 129.66 years in 2055
Step-by-step explanation:
a) dy/dt = ky*(16-y)
Solving the differential equation we have
dy / (y*(y-16)) = -k dt
∫ dy / (y*(y-16)) = ∫ -k dt
(-1/16)*Ln (y) + (1/16)*Ln (y-16) = -k*t + C
(1/16) Ln ((y-16)/y) = -k*t + C
Ln ((y-16)/y) = -16*k*t + C
(y-16)/y = C*e∧(-16*k*t)
If t = 0 and y = 2
(2-16)/2 = C*e∧(0)
C = -7 then we have
(y-16)/y = -7*e∧(-16*k*t)
In 1975 we have t = 1975 - 1925= 50 years and y = 4
(4-16)/4 = -7*e∧(-16*k*50)
k= - Ln (3/7) / 800 = 0.001059
Finally, the differential equation will be
(y-16)/y = -7*e∧(-16*0.001059*t)
(y-16)/y = -7*e∧(-0.016946*t)
b) In 2015 we have t = 2015 – 1925 = 90 years
(y-16)/y = -7*e∧(-0.016946*90)
Solving the equation we get
y = 6.34
c) If y = 9
(9-16)/9 = -7*e∧(-0.016946*t)
t = 129.66 years in 2055
The solution for (a)[tex]a) (y-16)/y = -7*e^{(-0.016946*t)}[/tex]b) y = 6.34 and (c) the value of t is 129.66 years in 2055
We have given that,
[tex]a) dy/dt = ky*(16-y)[/tex]
By using variable separable form we have,
What is the variable separable form?A variable separable differential equation is any differential equation in which variables can be separated
Therefore by solving the differential equation we have
[tex]dy / (y*(y-16)) = -k dt[/tex]
integrating both side with respect to t
[tex]\int dy / (y*(y-16)) = \int -k dt[/tex]
Solve the integration of the above
[tex](-1/16)*ln (y) + (1/16)*ln (y-16) = -k*t + C[/tex]
[tex](1/16) ln ((y-16)/y) = -k*t + C[/tex]
[tex]ln ((y-16)/y) = -16*k*t + C[/tex]
[tex](y-16)/y = C*e^{(-16*k*t)}[/tex]
If t = 0 and y = 2
[tex](2-16)/2 = C*e^{0}[/tex]
C = -7 then we have
[tex](y-16)/y = -7*e^{(-16*k*t)}[/tex]
In 1975 we have t = 1975 - 1925= 50 years and y = 4
[tex](4-16)/4 = -7*e^{(-16*k*50)[/tex]
[tex]k= - Ln (3/7) / 800 = 0.001059[/tex]
Finally, the differential equation will be
[tex](y-16)/y = -7*e^{(-16*0.001059*t)}[/tex]
[tex](y-16)/y = -7*e^{(-0.016946*t)}[/tex]
b) In 2015 we have t = 2015 – 1925 = 90 years
[tex](y-16)/y = -7*e^{(-0.016946*90)}[/tex]
Solving the equation we get
y = 6.34
c) If y = 9
[tex](9-16)/9 = -7*e^{(-0.016946*t)}[/tex]
Therefore we get the value of t is 129.66 years in 2055
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Suppose the lengths, in seconds, of the songs in an online database are normally distributed. For a random sample of songs, the confidence interval (184.00, 188.00) is generated. Find the sample mean x. Give just a number for your answer. For example, if you found that the sample mean was 12, you would enter 12.
Answer:
186
Step-by-step explanation:
The sample mean, x, is the central value in the confidence interval, that is, the average between the upper and lower bounds of the interval.
In this case, the Lower bound is 184.00 and the upper bound is 188.00. Therefore, the sample mean is given by:
[tex]x = \frac{184+188}{2}\\x=186.00[/tex]
The mean length, in seconds, of the sampled songs is 186.00.
The sample mean is 186.
The sample mean, denoted as [tex]\( x \)[/tex], can be found by taking the midpoint of the confidence interval. In this case, the confidence interval is (184.00, 188.00). To find [tex]\( x \)[/tex], we take the average of the lower and upper bounds of the interval. Thus,
[tex]\[ x = \frac{184.00 + 188.00}{2} = \frac{372.00}{2} = 186.00 \][/tex]
Therefore, the sample mean [tex]\( x \)[/tex] is 186.00 seconds. This means that, on average, the length of songs in the online database, based on the given sample, is 186.00 seconds.
Define the double factorial of n, denoted n!!, as follows:n!!={1⋅3⋅5⋅⋅⋅⋅(n−2)⋅n} if n is odd{2⋅4⋅6⋅⋅⋅⋅(n−2)⋅n} if n is evenand (−1)!! =0!! =1.Find the radius of convergence for the given power series.[(8^n*n!*(3n+3)!*(2n)!!)/(2^n*[(n+9)!]^3*(4n+3)!!)]*(8x+6)^n
Answer:
Radius of convergence of power series is [tex] \lim_{n \to \infty}\frac{a_{n}}{a_{n+1}}=\frac{1}{108}[/tex]
Step-by-step explanation:
Given that:
n!! = 1⋅3⋅5⋅⋅⋅⋅(n−2)⋅n n is odd
n!! = 2⋅4⋅6⋅⋅⋅⋅(n−2)⋅n n is even
(-1)!! = 0!! = 1
We have to find the radius of convergence of power series:
[tex]\sum_{n=1}^{\infty}[\frac{8^{n}n!(3n+3)!(2n)!!}{2^{n}[(n+9)!]^{3}(4n+3)!!}](8x+6)^{n}\\\\\sum_{n=1}^{\infty}[\frac{8^{n}n!(3n+3)!(2n)!!}{2^{n}[(n+9)!]^{3}(4n+3)!!}]2^{n}(4x+3)^{n}\\\\\sum_{n=1}^{\infty}[\frac{8^{n}n!(3n+3)!(2n)!!}{[(n+9)!]^{3}(4n+3)!!}](x+\frac{3}{4})^{n}\\[/tex]
Power series centered at x = a is:
[tex]\sum_{n=1}^{\infty}c_{n}(x-a)^{n}[/tex]
[tex]\sum_{n=1}^{\infty}[\frac{8^{n}n!(3n+3)!(2n)!!}{2^{n}[(n+9)!]^{3}(4n+3)!!}](8x+6)^{n}\\\\\sum_{n=1}^{\infty}[\frac{8^{n}n!(3n+3)!(2n)!!}{2^{n}[(n+9)!]^{3}(4n+3)!!}]2^{n}(4x+3)^{n}\\\\\sum_{n=1}^{\infty}[\frac{8^{n}4^{n}n!(3n+3)!(2n)!!}{[(n+9)!]^{3}(4n+3)!!}](x+\frac{3}{4})^{n}\\[/tex]
[tex]a_{n}=[\frac{8^{n}4^{n}n!(3n+3)!(2n)!!}{[(n+9)!]^{3}(4n+3)!!}]\\\\a_{n+1}=[\frac{8^{n+1}4^{n+1}n!(3(n+1)+3)!(2(n+1))!!}{[(n+1+9)!]^{3}(4(n+1)+3)!!}]\\\\a_{n+1}=[\frac{8^{n+1}4^{n+1}(n+1)!(3n+6)!(2n+2)!!}{[(n+10)!]^{3}(4n+7)!!}][/tex]
Applying the ratio test:
[tex]\frac{a_{n}}{a_{n+1}}=\frac{[\frac{32^{n}n!(3n+3)!(2n)!!}{[(n+9)!]^{3}(4n+3)!!}]}{[\frac{32^{n+1}(n+1)!(3n+6)!(2n+2)!!}{[(n+10)!]^{3}(4n+7)!!}]}[/tex]
[tex]\frac{a_{n}}{a_{n+1}}=\frac{(n+10)^{3}(4n+7)(4n+5)}{32(n+1)(3n+4)(3n+5)(3n+6)+(2n+2)}[/tex]
Applying n → ∞
[tex]\lim_{n \to \infty}\frac{a_{n}}{a_{n+1}}= \lim_{n \to \infty}\frac{(n+10)^{3}(4n+7)(4n+5)}{32(n+1)(3n+4)(3n+5)(3n+6)+(2n+2)}[/tex]
The numerator as well denominator of [tex]\frac{a_{n}}{a_{n+1}}[/tex] are polynomials of fifth degree with leading coefficients:
[tex](1^{3})(4)(4)=16\\(32)(1)(3)(3)(3)(2)=1728\\ \lim_{n \to \infty}\frac{a_{n}}{a_{n+1}}=\frac{16}{1728}=\frac{1}{108}[/tex]
a taxi company charges passengers $1.00 for a ride, and an additional $0.30