In: Statistics and Probability
The following data lists the ages of a random selection of actresses when they won an award in the category of Best Actress, along with the ages of actors when they won in the category of Best Actor. The ages are matched according to the year that the awards were presented. Complete parts (a) and (b) below.
a. Use the sample data with a
0.010.01
significance level to test the claim that for the population of ages of Best Actresses and Best Actors, the differences have a mean less than 0 (indicating that the Best Actresses are generally younger than BestActors).In this example,
mu Subscript dμd
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 actress's age minus the actor's age. What are the null and alternative hypotheses for the hypothesis test?
Upper H 0H0:
mu Subscript dμd
equals=
00 year(s)
Upper H 1H1:
mu Subscript dμd
less than<
00 year(s)
(Type integers or decimals. Do not round.)
Identify the test statistic.
tequals=negative 3.68−3.68
(Round to two decimal places as needed.)
Identify the P-value.
P-valueequals=0.0020.002
(Round to three decimal places as needed.)
What is the conclusion based on the hypothesis test?
Since the P-value is
less than or equal to
the significance level,
reject
the null hypothesis. There
is
sufficient evidence to support the claim that actresses are generally younger when they won the award than 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
nothing
year(s)less than<mu Subscript dμdless than<nothing
year(s).
(Round to one decimal place as needed.)
What feature of the confidence interval leads to the same conclusion reached in part (a)?
Since the confidence interval contains
zero,
only positive numbers,
only negative numbers,
reject
fail to reject
the null hypothesis.
Actress (years) Actor (years)
30 58
30 41
31 35
28 42
33 31
27 34
25 46
42 38
29 41
31 43
Here
d = actress's age - actor's age
The hypotheses are :
Null hypothesis against alternative hypothesis
Here
sample mean of difference
sample standard deviation of difference
and sample size
The test statistic can be written as
which under H0 follows a t distribution with n-1 df
We reject H0 at 0.01 level of significance if P-value < 0.01
Now,
The value of the test statistic
P-value =
Conclusion :
Since the P-value is less than or equal to the significance level,reject the null hypothesis. There is sufficient evidence to support the claim that actresses are generally younger when they won the award than actors.
b) a 99% confidence interval estimate for mean difference
So, we can write, at 99% confidence level,
Since the confidence interval contains only negative numbers, reject the null hypothesis.