Question

In a nationwide polls of 1,500 randomly selected U.S. residents, 77% said that they liked pizza. In a poll of 1,500 randomly selected U.S. residents one month later, 75% responded that they liked pizza. a. Does the polling evidence support the claim that pizza declined in popularity over the month between polls? Explain why or why not. b. Using statistical terminology, precisely identify the population parameter the two polls were attempting to measure. How does a parameter differ from a statistic? c. Based on the two polls, what would you say to someone who guessed that the population parameter the polls are trying to measure is really only 50%?

Answer 1

Answer:One can do a two-proportion test and find that the z-value for different is 1.28 (or -1.28, depending how one sets up the test).

The p-value for that is 0.20, so by most tests this is not statistically significant.

 

Said another way, if there had been no change in the interval, the probability of having a repeat sample at least this different would be 0.20.

The parameter one is attempting to determine is the true proportion of adults in the US who say they like pizza.

For those who think it is 50%, it is essentially 100% likely that it is not 50% but much higher, around 75-77%.

Answer 2

Answer:

Your correct answer: One can do a two-proportion test and find that the z-value for different is 1.28 (or -1.28, depending how one sets up the test).

The p-value for that is 0.20, so by most tests this is not statistically significant.

Step-by-step explanation:

PLease mark brainliest!!!