The null hypothesis ($H_0$) and the alternative hypothesis ($H_a$) for this scenario would be:

• Null Hypothesis ( $H_0$ ): The average age of viewers of "America's Got Talent" is 25 years old. $H_0: \mu = 25$

• Alternative Hypothesis ( $H_a$ ): The average age of viewers of "America's Got Talent" is greater than 25 years old. $H_a: \mu > 25$

Here, $\mu$ represents the population mean age of the viewers.

Would you like to go over how to test these hypotheses using a statistical test like a t-test? Let me know if you'd like more details or have any questions.

Additional Related Questions:

1. What is the difference between a one-tailed and two-tailed hypothesis test?
2. How do you calculate the test statistic for a hypothesis test?
3. What assumptions are made when performing a hypothesis test for the mean?
4. How would you interpret the results if we reject the null hypothesis?
5. What role does sample size play in hypothesis testing?

Tip: When forming hypotheses, remember that the null hypothesis generally represents the "status quo" or a claim of no difference, while the alternative hypothesis represents what you are trying to prove or test.