Answer: H0:μ=16.5; Ha:μ>16.5, which is a right-tailed test.
Step-by-step explanation:
Let [tex]\mu[/tex] be the population mean .
Given : According to a marketing research study, American teenagers watched 16.5 hours of social media posts per month last year, on average.
[tex]\mu=16.5[/tex] hours
A random sample of 20 American teenagers was surveyed and the mean amount of time per month each teenager watched social media posts was 17.3.
i.e. 17.3 is the sample mean for 20 randomly sampled American teenagers .
This data has a sample standard deviation of 2.1.
Researchers want to test mean amount of time American teenagers watch social media posts per month is greater than the mean amount of time last year.
i.e. [tex]\mu>16.5[/tex] hours
So the appropriate hypothesis for this situation will be :
[tex]H_0\mu=16.5[/tex] [Null hypothesis takes '= 'sign ]
[tex]H_a\mu>16.5[/tex] [Alternative hypothesis takes >, < , ≠ signs]
Since alternative hypothesis right-tailed , so the hypothesis test is a right tailed test.