Welcome

## Question 1 (1 point)A marketing research firm wanted to determine whether an individual’s favored So

Question 1 (1 point)A marketing research firm wanted to determine whether an individual’s favored Social Network and Age Group were related. For age they grouped by8-17, 18-34, 35-55, and 55+ and the social networks they investigated were Facebook, Google+, and Twitter. The table below presents their findings.Identify the correct conclusion using the 0.05 level of significance. Question 1 options: 1) We determine that Social Network and Age Group are dependent on one another, based on a p-valueof 1.0000 2) We find that Social Network and Age Group are not related to one another, based on a p-value of0.0000 3) We conclude that Social Network and Age Group are associated with each other, based on a p-value of0.0000 4) We decide that Social Network and Age Group are independent of one another, based on a p-value of 1.00005) There is not enough information to make a conclusion.SaveQuestion 2 (1 point)You notice that the type of phone someone has and the computer operating system they use seems to be related. Based on a sample, you make thefollowing tabulation. Is there a relationship between phone type and computer operating system choices? What is the appropriate conclusion at the0.05 level of significance? Question 2 options: 1) We did not find significant evidence that Phone and Computer OS are not related to each other, basedon a p-value of 0.9299 2) There are two correct answers. 3) We did not find significant evidence that Phone and Computer OS are related to each other, based on ap-value of 0.0701 4) We determine that Phone and Computer OS are independent of one another, based on a p-value of0.0701 5) We determine that Phone and Computer OS are dependent on one another, based on a p-value of0.9299 SaveQuestion 3 (1 point)You notice that the type of phone someone has and the computer operating system they use seems to be related. Based on a sample, you make thefollowing tabulation. To test at the 0.01 level to determine if Phone and Computer OS are dependent, calculate the chi-square test statistic and p-value. Question 3 options: 1) 2.929, the degrees of freedom is 4, and the p-value is 0.7953.2) None of the other options are fully correct.3) 5.927, the degrees of freedom is 4, and the p-value is 0.0100. 4) 5.927, the degrees of freedom is 4, and the p-value is 0.2047.5) 5.927, the degrees of freedom is 9, and the p-value is 0.7472.SaveQuestion 4 (1 point)Suppose the Federal Aviation Administration (FAA) would like to compare the on-time performances of different airlines on domestic, nonstop flights.The following table shows three different airlines and the frequency of flights that arrived early, on-time, and late for each. To test at the 0.1 level todetermine if Airline and Status are dependent, calculate the chi-square test statistic and p-value. Question 4 options: 1) 45.307, the degrees of freedom is 9, and the p-value is 0.0000.2) 45.307, the degrees of freedom is 4, and the p-value is 0.0000.3) None of the other options are fully correct.4) 45.307, the degrees of freedom is 4, and the p-value is 0.1000.5) 28.676, the degrees of freedom is 4, and the p-value is 1.0000.Save Question 5 (1 point)Suppose Best Buy would like to know if the age of a customer affects the brand of digital camera he or she purchases to help design a new promotionalcampaign. The data will show the frequency with which people, categorized by their age groups, purchased various camera brands. To determine ifCamera Brand and Age Group are dependent, what are the appropriate hypotheses?Question 5 options: 1) HO: Camera Brand and Age Group are independent of one another.HA: Camera Brand and Age Group display a positive correlation. 2) HO: Camera Brand and Age Group are independent of one another.HA: Camera Brand and Age Group display a negative correlation. 3) There is not enough information to choose the correct set of hypotheses.4) HO: Camera Brand and Age Group are not related to one another.HA: Camera Brand and Age Group are related to each other. 5) HO: Camera Brand and Age Group are related to one another.HA: Camera Brand and Age Group are independent of each other. SaveQuestion 6 (1 point)A political poll asked potential voters if they felt the economy was going to get worse, stay the same, or get better during the next 12 months. Theparty affiliations of the respondents were also noted. To determine if Party Affiliation and Response are dependent, what are the appropriatehypotheses?Question 6 options: 1) HO: Party Affiliation and Response are not related to one another.HA: Party Affiliation and Response display a negative correlation. 2) HO: Party Affiliation and Response are associated with each other.HA: Party Affiliation and Response are independent of each other. 3) HO: Party Affiliation and Response are independent of one another.HA: Party Affiliation and Response are related to one another. 4) HO: Party Affiliation and Response are not related to one another.HA: Party Affiliation and Response display a positive correlation. 5) There is not enough information to choose the correct set of hypotheses.Save Question 7 (1 point)Choose the value of the Pearson’s Correlation Coefficient (r) that best describes the two plots. Question 7 options: 1) I: 1.088, II: -0.21.2) I: 0.088, II: 0.21.3) I: -0.088, II: -0.21.4) I: -0.088, II: 1.21.5) I: -0.21, II: -0.088.SaveQuestion 8 (1 point) Choose the value of the Pearson’s Correlation Coefficient (r) that best describes the two plots. Question 8 options: 1) I: 0.289, II: 0.333.2) I: 0.333, II: 0.711.3) I: -0.711, II: -0.333.4) I: 0.711, II: 0.667.5) I: 0.711, II: 0.333.SaveQuestion 9 (1 point) Composite SAT scores and composite ACT scores are thought to be correlated for students coming into their first year of college. Given the datasetbelow, calculate the Pearson’s correlation coefficient for the dataset below and interpret what that means. Question 9 options: 1) The correlation is -0.883 . There is a strong negative linear association between ACT and SAT .2) The correlation is -0.883 . There is a strong positive linear association between ACT and SAT .3) The correlation is 0.883 . There is a strong positive linear association between ACT and SAT .4) The correlation is -0.883 . There is a weak negative linear association between ACT and SAT .5) The correlation is 0.883 . There is a strong negative linear association between ACT and SAT .Save