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For questions 1 through 5, use the following data:

X

13

11

11

12

4

4

3

Y

8

13

12

8

9

10

2

1. What is the mean value of x?

2.What is the median value of x?

3. What is the sample variance of x?

4. What is the correlation coefficient between x and y?

5. What is the sample variance of the differences between x and y?

For questions 6 through 8, use the following contingency table:


A

not A

total

B

23

14

37

not B

36

30

66

total

59

44

103

6.Find the probability that B happens?

7. Find the probability that B happens given that A happens?

8. Find the probability that either A or B happens?

For questions 9 and 10, assume P(C)=0.2, P(D)=0.6, and P(C|D)=0.1.

9.Find the probability that C and D both happen?

10.Find the probability that D does not happen given that C happens. (Hint: Rewrite in terms of P(D|C) and apply Bayes theorem.)

11. Which of the following distributions are symmetric?

1.Select: F-distribution, Exponential distribution Normal distribution

2.Select: Binomial distribution, Poisson distribution, T-distribution

3. Select: Negative binomial distribution, Uniform distribution, Hypergeometric distribution

For questions 12 and 13, assume a loaded coin has a 70% chance of landing on heads each time it is flipped.

12. If you flip the loaded coin six times, what is the probability that it lands on heads exactly 3 times?

13. How much more likely is the loaded coin to land on heads 6 times than a fair coin would be? (That is, the difference in probabilities)

14. What is the probability that a normally distributed random variable takes a value that is larger than the value that is 2 standard deviations below its mean?

For questions 15 to 17, use the following distribution:

P(X)

0.1

0.35

0.2

0.3

0.05

X

1

2

3

4

5

15.What is the mean value of x?

16. What is the variance of x? (Hint: If you're using Excel, remember this is a population variance)

17. What is the probability that x is below its mean value?

18. If you estimate a regression model and find and intercept of 1 and a coefficient of 4, how should you interpret the coefficient of 4?

A:Y is four times as large as X.

B: On average, an observation with an x value one higher than another has a y value four higher than the other.

C: An increase in x causes y to increase by 4 times as much.

D: An increase in Y causes X to increase by 1/4 as much.

19 If you calculate a p-value of 0.01 for a hypothesis test, which of the following is the best interpretation?

A: There is a 1% chance that the null hypothesis is true.

B: If the null hypothesis were true, results this extreme would happen 1% of the time.

C: If the null hypothesis were false, results this extreme would happen 99% of the time.

D: There is a 99% chance that the null hypothesis is true.

For questions 20 through 22, suppose you draw a sample of size 120 from an unknown population and find a sample mean of 20 and a sample variance of 10. 

20. What is the estimated standard error of the sample mean?

21.What is the upper bound of the 90% CI for the mean?

22.What is the test statistic for the null hypothesis that that the population mean is 0?

For questions 23 and 24, suppose you draw a sample of size 5 from a normal distribution and find a sample mean of 5.5 and a sample variance of 1.7.

23.What is the estimated standard error of the sample mean?

24.What is the lower bound of the 95% CI for the mean?

25.Suppose you have calculated a normally distributed test statistic with a value of 1.7. What is the corresponding p-value if you are using a two sided test?

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