True or false? In a one-way ANOVA, if the null hypothesis is rejected, we conclude that the population means are all different.

Poverty in Alaska vs Hawaii. If we have 26 out of 350 families in Hawaii that were below the poverty time, and if we random select 300 Alaska families, we find 35 families below the poverty line. At the 1% significance level, do the data provide sufficient evidence to conclude a difference in the proportion of families below the poverty line for Alaska and Hawaii? Based on the hypotheses, find the following:Test Statistic = _____________p-value = ______________ Find a 99% confidence interval for the difference in proportion of families below the poverty line in Alaska and Hawaii.  ______≤ p1 - p2 ≤ ___________

A one-way ANOVA is called "one-way" because of which of the following it predicts the outcome variable using one predictor variable   multiple predictor variables can be used, but they all only predict one outcome variable.   there's only one way to do it   No answer text provided.

Bias in Clinical Trials? Researchers investigated the issue of race and equality of access to clinical trials. The table below shows the population distribution and the numbers of participants in clinical trials involving lung cancer (based on data from "Participation in Cancer Clinical Trials," by Murthy, Krumholz, and Gross, Journal of the American Medical Association, Vol. 291, No. 22). Use a 0.01 significance level to test the claim that the distribution of clinical trial participants fits well with the population distribution. Race/ethnicity Distribution of Population Number in Lung Cancer Clinical Trials a) Test Statistic: b) Critical X²: c) P-Value: d) Conclusion: There Participation in Cancer Clinical Trials White non- hispanic 75.6% 3855 Hispanic Black 9.1% 60 sufficient evidence to support the claim. 10.8% 316 Asian/Pacific Islander 3.8% 54 American Indian/Alaskan Native 0.7% 12

Analysis of Variance (ANOVA) Researchers conducted a study to evaluate the effectiveness of three alcohol treatment programs. The researchers randomly assigned each of the 15 patients to receive one of these treatments. Sixty days later, the researchers measured the effectiveness of the program. One of their measures was the patient’s self-reported need to use alcohol. It was measured on a scale of 1 (low need) to 10 (high need). Test the null hypothesis that the patient’s self-reported need to use alcohol does not differ by type of treatment. Write a concluding statement. Treatment A Treatment B Treatment C 8 6 6 10 5 5 10 10 2 8 2 2 10 4 1

“Type I Error Blues,” by David Stein The managers huddled to see if they had won or lost. Did the new process from 2 months before yield data showing a reduction in cost? Or was it merely a matter of chance… Too soon to do the data dance?   So they set about the business of crafting a hypothesis test In order to conclude which process was best. With the null hypothesis meaning “status quo”, no change evident They quickly concluded H0 could not stand, as was their true intent.   Just one month later, they realized their grave mistake! A Type II error would have been so much safer, for goodness sake. Alas, their final huddle was a sad one with HR Director Bob. He told them to go back to training school as each was now in need of a new job.   What was the likely managerial mood and outcome on the days immediately following the (erroneous) conclusion to reject this null hypothesis? What would have been the likely managerial mood and outcome on the days immediately following an…

Pearson’s correlation is the only statistical test that can measure the relationship between two variables. a. True b. False   A strong correlation indicates there is a cause-and-effect relationship between two variables. a. True b. False   Within a hypothesis test, estimated standard error provides a measurement of which of the following: a. The typical amount of sampling error expected when the null hypothesis is true b. The typical mean expected when the null hypothesis is true c. The typical amount of sampling error expected when the null hypothesis is false d.The typical mean expected when the null hypothesis is false

Random digit dialing telephone surveys used to exclude cell phone numbers. If the opinions of people who have only cell phones differ from those of people who have landline service, the poll results may not represent the entire adult population. The Pew Research Center interviewed separate random samples of cell-only and landline telephone users who were less than 30 years old. Here’s what the Pew survey found about how these people describe their political party affiliation.     Do we reject, or fail to reject, the null hypothesis?

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