In: Statistics and Probability
A movie company conducts a study to test the claim that the majority of people who watch their movies from 12:00-3:00 are all under 30.
They surveyed 30 random people with a mean age of 28 years old, also the population standard deviation for the average viewer is 6 years.
We Assume that the data are from normal population with mean μ and variance σ^2.
Here we want to test,
H0: μ = 30 versus H1: μ < 30
To test this our appropriate test statistic is given by,
t = ~ N(0, 1) under H0.
Where,
n = sample size = 30
σ = population Std Dev = 6
= sample mean = 28
= hypothesized mean = 30
t = = -1.8257
Note that, a small value of T indicates the rejection of H0, So a left tailed test based on t is appropriate. we reject H0 at significance level α = 0.05, if t < -τ_[α = 0.05].
Here we see that t = -1.8257 and -τ_[α = 0.05] = -1.645.
So, t = -1.8257 < -τ_[α = 0.05] = -1.645.
Hence we reject the null hypothesis H0 at significance level α = 0.05 and we conclude that the claim of movie company is true that the mejority of people who watch their shows from noon to 3 pm are all under age 30.