1.5 pts Edit this Question Delete this Question Penn State…
1.5 pts Edit this Question Delete this Question Penn State University Health Services (UHS) believes that students who received a flu shot were less likely to have the flu this year when compared to students who did not receive a flu shot. To test this claim, they surveyed a random sample of 200 PSU students. The students were separated by whether or not they had the flu. The sample difference in proportions of students who had the flu, when using the flu shot group first in the calculation, is -0.39. The correct null and alternative hypotheses for this situation would be: Ho :[answer1][answer2][answer3] Ha :[answer4][answer5][answer6] Assuming the relevant p-value for this test is 0.350, complete the conclusion below: We [answer7] the null hypothesis. We [answer8] convincing evidence that there is a smaller proportion of PSU students who caught the flu this year when comparing students who received a flu shot to those who did not.
Read DetailsUsing a random sample of 1,017 adults living in all 50 state…
Using a random sample of 1,017 adults living in all 50 states and the District of Columbia, Gallup calculated that 33% of Americans are confident they will have enough money in retirement. The margin of error is ±4 percentage points at the 95% confidence level. Classify the statements below as true or false:
Read DetailsA study considered the following two variables: 1. How many…
A study considered the following two variables: 1. How many times went to the dentist in past year : never or once 2. Have a cavity: no yes no yes total never 44 3 47 once 49 4 53 total 93 7 100 Match the statistic to its corresponding calculation
Read DetailsSuppose researchers surveyed 52 expecting mothers at a “Futu…
Suppose researchers surveyed 52 expecting mothers at a “Future Mothers” class on their attitudes on the use of formula vs. breastfeeding. The survey results found that 20% of expecting mothers favored the use of formula over breastfeeding. Using 5,000 Bootstrap samples, we calculate a 95% confidence interval to be 18.8% to 21.2% . Indicate what would happen to the width of the confidence interval if the changes below were made. For each option, assume all other quantities are held constant.
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