3 Question 1 1.5 pts If the value of one variable gives you information about the value of the other variable, then the two variables are said to be independent resistant mutually exclusive associated 3 Question 2 1.5 pts The variable is the one that explains the change in the ________ variable. response; explanatory No answer text provided. No answer text provided. explanatory; response In March 2012, an article titled "Eating Red Meat Regularly 'Dramatically increases The Risk of Death from Heart Disease," appeared in the Daily Mail. The article was based on the findings of a study that followed over 120,000 men and women for almost 30 years, the data for which were analyzed by the Harvard School of Public Health in Boston. Question 3 1.5 pts Identify the explanatory variable in this study. Edit View Insert Format Tools Table 12pt " Paragraph * B I U Av & Ty : p : 1 0 words > Question 4 1.5 pts Is this explanatory variable categorical or quantitative? categorical O No answer text provided. quantitative O No answer text provided.Question 5 1.5 pts What is the response variable in this study? Edit View Insert Format Tools Table 12pt " Paragraph ~ | B I U A QV Try : p EES9 1 0 words > Question 6 1.5 pts Is this response variable categorical or quantitative? O quantitative O categorical Question 7 2 pts Identify a confounding variable that provides an alternative explanation for the higher risk of death from heart disease among those who ate red meat regularly, compared to those who didn't. Edit View Insert Format Tools Table 12pt Paragraph ~ | B I U A QV Try :A 2013 Gallup poll asked randomly selected US adults whether they wanted to stay at their current body weight or change. One purpose was to investigate whether there was any difference between men and women with regard to this aspect. Of the 562 men surveyed, 242 wanted to stay at their current weight. whereas of the 477 women surveyed, 172 wanted to stay at their current weight. Is this an experiment or an observational study? observational study experiment What is the observed difference in the conditional proportion of those who wanted to stay at their current weight between men and women? E Question 10 Which is the appropriate null hypothesis? The proportion of men who wish to change their body weight is different from the proportion of women who wish to change their body weight. The proportion of men who wish to change their body weight is more than the proportion of women who wish to change their body weight. The proportion of men who wish to change their body weight is less than the proportion of women who wish to change their body weight. The proportion of men who wish to change their body weight is equal to the proportion of women who wish to change their body weight. Which of the following is the appropriate alternative hypothesis? The proportion of men who wish to change their body weight is more than the proportion of women who wish to change their body weight. The proportion of men who wish to change their body weight is equal to the proportion of women who wish to change their body weight. The proportion of men who wish to change their body weight is different from the proportion of women who wish to change their body weight. The proportion of men who wish to change their body weight is less than the proportion of women who wish to change their body weight. When inputting the information in the Two Proportions applet, should you use "less than", "greater than", or "beyond" when telling the applet where to look for the statistic on the null distribution? No answer text provided. greater than less than beyond Question 13 2 pts A p-value of 0.0264 was obtained for this data on the Two Proportions applet. Interpret this p-value in the context of the study. How much evidence do you have against the null hypothesis? strong evidence moderate evidence little to no evidence very strong evidence Question 14 2.5 pts The difference between the proportions is 0.07 and the standard deviation of the difference is 0.031. [In other words, the statistic we are using is 0.07 and the standard deviation of that statistic is 0.031.) Use the 25D method to nd a 95% condence interval for the parameter of interest. Edit View Insert Format Tools Table 12pt V Paragraph V A v p v T2 v EB Question 15 2 pts Is your conclusion from using the p-value consistent with your nding from the 95% condence interval? How are you deciding? Edit View Insert Format Tools Table 12pt v Paragraph v A v p v TZV E E3