Final answer:
The null hypothesis (H0) for this claim would be that the percentage of college-educated adults who watch the early news is less than or equal to that of non-college-educated adults. The alternative hypothesis (Ha) is that the percentage of college-educated adults who watch the early news is greater than that of non-college-educated adults.
Step-by-step explanation:
When forming a hypothesis for a statistical test, the null hypothesis (H0) is a statement of no effect or no difference, and it typically suggests equality. The alternative hypothesis (Ha) is a statement that indicates a difference or effect and is what the researcher aims to support.
For the claim that the percentage of college-educated adults who watch the early news on television is greater than the percentage of adults who do not have a college degree who watch the early news on television, the null and alternative hypotheses would be:
- H0: P <= P_non_college - The percentage of college-educated adults (P) who watch the early news is less than or equal to the percentage of non-college-educated adults who watch the early news.
- Ha: P > P_non_college - The percentage of college-educated adults (P) who watch the early news is greater than the percentage of non-college-educated adults who watch the early news.
Where 'P' represents the percentage of college-educated adults who watch the early news, and 'P_non_college' represents the percentage of non-college-educated adults who watch the early news.