A political candidate has asked you to conduct a poll to determine what percentage of people support her. If the candidate only wants a 9% margin of error at a 99% confidence level, what size of sample is needed? (Because the sample population proportion is not given, assume ˆpp^ is 0.5 and round the final answer up to the next whole number.) n=n=

The percent of people who have generally believed fact A used to be 64%.   A campaign to change people's thoughts was put in place and the people running that campaign run a hypothesis test to see if there has been change from the previous percent. If a sample of size 100 was chosen and it was found that 77 of them now felt this way, find the test statistic for this test. Round answer to 2 decimal places.

On average, a sample of n = 36 scores will provide a better estimate of the population mean than a sample of n = 49 scores from the same population.

The best way to ensure that your sample represents the population it came from accurately, is to make sure you have a sample of at least 10. (n=10) True or false

K A magazine provided results from a poll of 500 adults who were asked to identify their favorite pie. Among the 500 respondents, 14% chose chocolate pie, and the margin of error was given as ±4 percentage points. Describe what is meant by the statement that "the margin of error was given as ±4 percentage points." 身 Choose the correct answer below. OA. The statement indicates that the study is 100% -4% = 96% confident that the true population percentage of people that prefer chocolate pie is 14%. OB. The statement indicates that the true population percentage of people that prefer chocolate pie is in the interval 14% ±4%. OC. The statement indicates that the interval 14% ± 4% is likely to contain the true population percentage of people that prefer chocolate OD. The statement indicates that the study is only 4% confident that the true population percentage of people that prefer chocolate pie is exactly 14%.

Statistical tests are more accurate if there is a sample size of n > 30. how will a sample size  of n = 20 effect the results of a test?

The first pic is the question, since I’ve been receiving some incorrect answers from the tutors, I included an example problem in the second pic.

Determine the probability of seeing a Z score of 2.699 or one with a larger absolute value.

A sample of n = 9 scores has EX = 108. What is the sample mean? %3D The sample mean is