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.
Use the sample data with a
0.050.05
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, md 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?
Actress (years) Actor (years)
28 56
27 41
31 34
26 37
39 36
24 31
24 54
38 35
33 34
36 42
where
test statistic,t=Md/Sd/sqrt(n)
=(-9.4)/(11.69235268/sqrt(10))
t=-2.542295
df=n-1=10-1=9
P value in excel
=T.DIST(-2.542295,9,TRUE)
=0.0157958
p<0.05
Reject Ho
Accept Ha
There is sufficient statistical evidence at 5% level of significance to conclude that he mean value of the differences d for the population of all pairs of data,
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