Answer: c. H0: p = 0.16; Ha: p ≠ 0.16
Step-by-step explanation:
We know that ,
Null hypothesis is a statement about the population parameter([tex]\mu , p, \sigma....[/tex]) and contains equality (=),≤ or ≥ signs.
Alternative hypothesis is also statement about the population parameter([tex]\mu , p, \sigma....[/tex]) but against null hypothesis and contains signs < , > or ≠.
In the given situation , the parameter is p (population proportion).
A recent study stated that the proportion of young adults who reported smoking at least twice a week or more in the last month was 0.16.
i.e. the point estimate of the population proportion(p) of the young adults who reported smoking at least twice a week or more is 0.16.
Now, the hypotheses to be tested for this study would be :
[tex]H_0: p=0.16\\\\ H_a: p\neq0.16[/tex]
Hence, the correct answer is c. H0: p = 0.16; Ha: p ≠ 0.16