In: Statistics and Probability
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 | 
|---|---|
| 31 | 62 | 
| 22 | 42 | 
| 33 | 55 | 
| 37 | 57 | 
| 24 | 30 | 
| 33 | 49 | 
| 23 | 54 | 
| 29 | 50 | 
| 24 | 53 | 
| 27 | 37 | 
| 23 | 35 | 
| 32 | 40 | 
| 25 | 63 | 
| 23 | 44 | 
| 28 | 39 | 
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.
H0: ______________
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: _________________
What is the p-value? ____________ (Round to three decimal places.)
At a 0.025 significance, what is the conclusion about the null? __________________
2. What is the conclusion about the claim? _______________________
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−x1 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 0.025. You believe the population of difference scores is normally distributed, but you do not know the standard deviation.
H0: μd=0
H1:μd≠0
| Actress Age | Actor Age | 
|---|---|
| 31 | 62 | 
| 22 | 42 | 
| 33 | 55 | 
| 37 | 57 | 
| 24 | 30 | 
| 33 | 49 | 
| 23 | 54 | 
| 29 | 50 | 
| 24 | 53 | 
| 27 | 37 | 
| 23 | 35 | 
| 32 | 40 | 
| 25 | 63 | 
| 23 | 44 | 
| 28 | 39 | 
What is the critical value for this test? t=± ____________ (Round to three decimal places.)
What is the test statistic for this sample? t= ____________ (Round to three decimal places.)
What is the p-value?____________ (Round to three decimal places.)
Conclusion about the null: ______________
Conclusion about the claim: _________________
How were these two tests similar? __________________________
How were these two tests different? _______________________
1. H0: there is no median difference between the ages of Best Actress and Best Actor award winners.
H1: there is median difference between the ages of Best Actress and Best Actor award winners.
Let the los be alpha = 0.025
From the given data
| S.No. | Actress Age | Actor Age | Diff = X-Y | 
| 1 | 31 | 62 | -31 | 
| 2 | 22 | 42 | -20 | 
| 3 | 33 | 55 | -22 | 
| 4 | 37 | 57 | -20 | 
| 5 | 24 | 30 | -6 | 
| 6 | 33 | 49 | -16 | 
| 7 | 23 | 54 | -31 | 
| 8 | 29 | 50 | -21 | 
| 9 | 24 | 53 | -29 | 
| 10 | 27 | 37 | -10 | 
| 11 | 23 | 35 | -12 | 
| 12 | 32 | 40 | -8 | 
| 13 | 25 | 63 | -38 | 
| 14 | 23 | 44 | -21 | 
| 15 | 28 | 39 | -11 | 

Calim: Thus we conclude that there is median difference between the ages of Best Actress and Best Actor award winners.
2) Paired t test
H0: there is no median difference between the ages of Best Actress and Best Actor award winners.
H1: there is median difference between the ages of Best Actress and Best Actor award winners.
Let the los be alpha = 0.025
From the given data
| S.No. | Actress Age | Actor Age | Difference (d) | d^2 | 
| 1 | 31 | 62 | 31.00 | 961.00 | 
| 2 | 22 | 42 | 20.00 | 400.00 | 
| 3 | 33 | 55 | 22.00 | 484.00 | 
| 4 | 37 | 57 | 20.00 | 400.00 | 
| 5 | 24 | 30 | 6.00 | 36.00 | 
| 6 | 33 | 49 | 16.00 | 256.00 | 
| 7 | 23 | 54 | 31.00 | 961.00 | 
| 8 | 29 | 50 | 21.00 | 441.00 | 
| 9 | 24 | 53 | 29.00 | 841.00 | 
| 10 | 27 | 37 | 10.00 | 100.00 | 
| 11 | 23 | 35 | 12.00 | 144.00 | 
| 12 | 32 | 40 | 8.00 | 64.00 | 
| 13 | 25 | 63 | 38.00 | 1444.00 | 
| 14 | 23 | 44 | 21.00 | 441.00 | 
| 15 | 28 | 39 | 11.00 | 121.00 | 
| Total : | 296.00 | 7094.00 | 

Test Statistic, t: 8.0788
Critical t: ±2.5096
P-Value: 0.0000
since t value is not in t critical values and P-value < alpha = 0.05 so we reject H0
Thus we conclude that there is median difference between the ages of Best Actress and Best Actor award winners.