a. Use a 0.10 significance level to test the claim that Oscar-winning actresses tend to be younger than Oscar-winning actors. In this example, " is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the actor's age minus the actress's age. What are the null and alternative hypotheses for the hypothesis test? Ho: Hd #₁: Ha years years Type integers or decimals. Do not round.) dentify the test statistic. =(Round to two decimal places as needed.) identify the P-value. P-value = (Round to three decimal places a needed.) What is the conclusion based on the hypothesis test? Since the P-value is the significance level, the null hypothesis. There sufficient evidence to support the claim that Oscar-winning actresses tend to be younger than Oscar-winning actors. b. Construct the confidence interval that could be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval is year(s)< < year(s). (Type integers or decimals rounded to one decimal place as needed.) What feature of the confidence interval leads to the same conclusion reached in part (a)? Because the confidence interval includes H₂-

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Actress    Actor
24    40
43    44
49    32
63    52
40    49   
61    36
22    55
35    41
41    38
35    29
30    38
25    42
33    52
22    44
46    39
33    39
45    60
41    39
27    48
25    40
27    52
31    47
80    32
28    41
54    51
33    42
61    45
38    43
35    62
39    45
32    41
39    35
21    62
44    44
33    38
36    60
28    43
26    34
35    45
35    37
37    41
41    41
50    53
29    50
30    49
37    49
33    36
27    41
38    37
42    42
60    59
24    35
31    36
32    50
25    56
34    43
34    60
26    34
29    47
41    43
54    33
29    42
32    30
30    37
29    32
60    42
45    38
28    62
28    44
38    45
62    39
35    57
42    56

Listed in the accompanying table are 73 ages of actresses and actors when they won Academy Awards for their performances. Each pair of ages is from the same year. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) and (b).

[Click the icon to view the Academy Award ages.]

---

a. Use a 0.10 significance level to test the claim that Oscar-winning actresses tend to be younger than Oscar-winning actors.

In this example, \( \mu_d \) is the mean value of the differences \( d \) for the population of all pairs of data, where each individual difference \( d \) is defined as the actor's age minus the actress's age. What are the null and alternative hypotheses for the hypothesis test?

- \( H_0: \mu_d = \# \) years
- \( H_1: \mu_d \) \( \Box \) \( \# \) years

(Type integers or decimals. Do not round.)

Identify the test statistic.

- \( t = \) (Round to two decimal places as needed.)

Identify the P-value.

- P-value = \( \Box \) (Round to three decimal places as needed.)

What is the conclusion based on the hypothesis test?

Since the P-value is \( \Box \) the significance level, \( \Box \) the null hypothesis. There \( \Box \) sufficient evidence to support the claim that Oscar-winning actresses tend to be younger than Oscar-winning actors.

---

b. Construct the confidence interval that would be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)?

The confidence interval is \( \Box \) year(s) < \( \mu_d \) < \( \Box \) year(s).

(Type integers or decimals rounded to one decimal place as needed.)

What feature of the confidence interval leads to the same conclusion reached in part (a)?

Because the confidence interval includes \( \Box \), \( \Box \) \( H_0 \).
Transcribed Image Text:Listed in the accompanying table are 73 ages of actresses and actors when they won Academy Awards for their performances. Each pair of ages is from the same year. Use the listed paired sample data, and assume that the samples are simple random samples and that the differences have a distribution that is approximately normal. Complete parts (a) and (b). [Click the icon to view the Academy Award ages.] --- a. Use a 0.10 significance level to test the claim that Oscar-winning actresses tend to be younger than Oscar-winning actors. In this example, \( \mu_d \) is the mean value of the differences \( d \) for the population of all pairs of data, where each individual difference \( d \) is defined as the actor's age minus the actress's age. What are the null and alternative hypotheses for the hypothesis test? - \( H_0: \mu_d = \# \) years - \( H_1: \mu_d \) \( \Box \) \( \# \) years (Type integers or decimals. Do not round.) Identify the test statistic. - \( t = \) (Round to two decimal places as needed.) Identify the P-value. - P-value = \( \Box \) (Round to three decimal places as needed.) What is the conclusion based on the hypothesis test? Since the P-value is \( \Box \) the significance level, \( \Box \) the null hypothesis. There \( \Box \) sufficient evidence to support the claim that Oscar-winning actresses tend to be younger than Oscar-winning actors. --- b. Construct the confidence interval that would be used for the hypothesis test described in part (a). What feature of the confidence interval leads to the same conclusion reached in part (a)? The confidence interval is \( \Box \) year(s) < \( \mu_d \) < \( \Box \) year(s). (Type integers or decimals rounded to one decimal place as needed.) What feature of the confidence interval leads to the same conclusion reached in part (a)? Because the confidence interval includes \( \Box \), \( \Box \) \( H_0 \).
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