**I'VE ATTACHED PICTURES OF THE QUESTIONS THAT CONTAIN ALL THE INFO** I WILL RATE AND LEAVE FEEDBACK**

QUESTION 1:

a) How are linear correlation and rank correlation alike? (avoid using the word "correlation" to describe any similarities.)

b) How are linear correlation and rank correlation different?

QUESTION 2:

The following data set shows the ages of the Best Actress and Best Actor award at a given awards show for various years: (data included in the picture attachment)

Using a Sign Test, test the claim that there is no median difference between the ages of Best Actress and Best Actor award winners.

a) Find the null and alternative hypothesis.

H0:_________

H1:__________

Select an answer:a)The median age of actresses is more than the median age of actors.b)The median age of actresses is less than the median age of actors.c)The median of the differences is zero.d)The median of the differences is NOT zero.

b) If we consider + to represent when the female was older than the male, then how many of each sign is there?

Positive signs:___________

Negative signs:____________

Total signs:_____________

What is the p-value?___________(Round to three decimal places.)

At a 0.1 significance, what is the conclusion about the null?Select an answer: a)Fail to reject the null hypothesis. b)Fail to support the null hypothesis. c)Support the null hypothesis.d) Reject the null hypothesis.

What is the conclusion about the claim?Select an answer: a)Reject the claim that there is no difference in median age.b)Support the claim that there is no difference in median age.c)There is insufficient evidence to support the claim that there is no difference in median age.d)Fail to reject the claim that there is no difference in median age.

QUESTION 2.2:

Let's now perform a mean-matched pairs test to test the claim that there is no mean difference between the age of males and females.For the context of this problem,d=x2?x1where the first data set represents actress (female) ages and the second data set represents male (actor) ages. We'll continue to use a significance of 0.1.You believe the population of difference scores is normally distributed, but you do not know the standard deviation.

H0: ?d=0

H1: ?d?0

(data included in the attachment picture)

a)What is the critical value for this test?t= _______________(Round to three decimal places.)

b) What is the test statistic for this sample?t= ____________(Round to three decimal places.)

c)What is the p-value?_______(Round to three decimal places.)

d)Conclusion about the null:Select an answer: a)Support the null hypothesis.b)Fail to reject the null hypothesis.c)Fail to support the null hypothesis.d)Reject the null hypothesis.

e)Conclusion about the claim:Select an answer: a)Reject the claim that there is no mean difference in the ages.b)Support the claim that there is no mean difference in the ages.c)Fail to reject the claim that there is no mean difference in the ages.d)There is insufficient evidence to support the claim that there is no mean difference in the ages.

f)How were these two tests similar in what they were testing? Note, I'm not asking about the results of the test.

g) How were these two tests different in what they were testing? Again, I'm not asking aboutthe results or the process to get to those results, but I want you to look at what you were actually testing.

Question 1 5 pts 9 1 How are linear correlation and rank correlation alike? (Try to avoid using the word "correlation" to describe any similarities. ) Edit Insert Formats B IU X X A E How are linear correlation and rank correlation different? Edit * Insert Formats BIU X X AI Question 2 I215 pts '01 The following data set shows the ages of the Best Actress and Best Actor award at a given awards show for various years: Actress Age Actor Age Using a Sign Test, test the claim that there is no median difference between the ages of Best Actress and Best Actor award winners. Find the null and alternative hypothesis. Ho: Solaoiananswor 1" H1: _ If we consider + to represent when the female was older than the male, then how many of each sign is there? Positive Signs: Negative Signs: Total Signs: J What is the p-value? (Round to three decimal places.) At a 0.1 significance, what is the conclusion about the null? * What is the conclusion about the claim? 1 Let's now perform a mean-matched pairs test to test the claim that there is no mean difference between the age of males and females. For the context of this problem, d = m m where the first data set represents actress (female) ages and the second data set represents male (actor) ages. We'll continue to use a significance of 0.1 . You believe the population of difference scores is normally distributed, but you do not know the standard deviation. HI]? Paa=0 Hlt'ud' f 0 Actress Age 39 30 35 39 37 22 29 14 19 12 39 16 What is the critical value for this test? it = a: (Round to three decimal places.) What is the test statistic for this sample? it = [: (Round to three decimal places.) What is the p-value? . J (Round to three decimal places.) Conclusion about the null: Conclusion about the claim: ' How were these two tests similar in what they were testing? Note, I'm not asking about the results of the test. .::::J' How were these two tests different in what they were testing? Again, I'm not asking about the results or the process to get to those results, but I want you to look at what you were actually testing