Suppose are running a study/poll about the proportion of women over 40 who regularly have mammograms. You randomly sample 118 people and find that 98 of them match the condition you are testing. Suppose you have the following null and alternative hypotheses for a test you are running: H0:p=0.8H0:p=0.8 Ha:p>0.8Ha:p>0.8 Calculate the test statistic, rounded to 3 decimal places

Please answer B, C, & D.

Under what circumstances can you use a z-test instead of a t-test to compare a sample against a population?

A news article that you read stated that 56% of voters prefer the Democratic candidate. You think that the actual percent is larger. 142 of the 236 voters that you surveyed said that they prefer the Democratic candidate. What can be concluded at the 0.10 level of significance? For this study, we should use     The null and alternative hypotheses would be:     Ho:            (please enter a decimal)    H1:            (Please enter a decimal) The test statistic     =  (please show your answer to 3 decimal places.) The p-value =  (Please show your answer to 4 decimal places.) The p-value is     αα Based on this, we should      the null hypothesis. Thus, the final conclusion is that ... The data suggest the populaton proportion is significantly larger 56% at αα = 0.10, so there is sufficient evidence to conclude that the proportion of voters who prefer the Democratic candidate is larger 56% The data suggest the population proportion is not significantly larger 56% at αα = 0.10, so…