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Two researchers perform two different hypothesis tests.   Researcher A obtained a p-value of 0.03. Researcher B obtained a p-value of 0.15 Based on this information, the p-value from researcher [answer1] gives stronger evidence against the null and in favor of the alternative.  Using a significance level of 0.05, researcher A should [answer2] the null and researcher B should [answer3] the null.

Penn State University Health Services believe that less than 35% of current students have engaged in binge drinking. To test this claim, they survey n = 1343 randomly selected Penn State students, asking them whether or not they engaged in binge drinking. In the sample, they find that 34.4% of students have engaged in binge drinking. 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 was 0.372, complete the conclusion below: We [answer7] the null hypothesis.  We [answer8] convincing evidence that less than 35% of Penn State students have engaged in binge drinking.

Consider each of the samples below and determine whether or not conditions are met to use a t-distribution for inference about the population mean. A.   B. C. D.  

Researchers are interested in determining if there is an association between the number of hours a student works in a week and the number of classes they miss in a week.  Assume data was collected and they found a correlation of 0.623. Using this information, they calculated a p-value of 0.014. Determine whether each of the statements below is true or false.

Research Question:  Does the data suggest that less than 60% of Americans have at least $1000 in the bank for an emergency. The sample statistic of interest is p-hat: the proportion of Americans who do have at least $1000 in the bank for an emergency. Company A surveys 240 Americans with a sample proportion of 0.58. Company B surveys 410 Americans with a sample proportion of 0.58. Company C surveys 80 Americans with a sample proportion of 0.58. Which Company has the most evidence against the null hypothesis, i.e. in favor of the research question?

Assume a researcher performs a hypothesis test and uses the below screenshot from StatKey to calculate the p-value: Look at all of the provided information on the graph when answering this question.   The alternative hypothesis of Ha: [answer1] is the only possibility because the p-value was obtained from the theoretical [answer2] distribution and the test is [answer3].

Netflix claims that 50% of U.S. households now have a subscription. We want to find evidence that the true percentage is different. A survey of n = 472 randomly chosen U.S. households finds that the proportion who have a subscription to Netflix is 46%. 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 was 0.002, complete the conclusion below: We [answer7] the null hypothesis.  We [answer8] convincing evidence that the proportion of U.S. households with a subscription to Netflix is different than 0.50.

A large intro class did a bead box activity to estimate the proportion of blue beads in a very large box of beads.  2000 students took random samples of size 100 and recorded their sample proportions.   A dotplot of these 2000 proportions is found below.  Your sample proportion was 0.50. Based on the sampling distribution found above, which of the below options is closest to the true population proportion of blue beads in the box?

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

Two researchers completed the same study when considering the same hypothesis test. Researcher A obtained a p-value of 0.10. Researcher B obtained a p-value of 0.13. Based on this information, the p-value from researcher [answer1] provides stronger evidence against the null and in favor of the alternative.  Using a significance level of 0.05, researcher A should [answer2] the null and researcher B should [answer3] the null.