Polling organizations regularly collect data on the public’s opinions and habits. A question on a recent survey asked, “How ofte
n do you purchase coffee from a coffeehouse?” There may be differences in how people respond to this question based on whether the person is a full-time student. Suppose a polling organization uses random digit dialing of local phone numbers to take a poll and asks respondents whether they are full-time students. In addition, they ask respondents to identify how often they purchase coffee from a coffeehouse (never, once a week, two to three times a week, daily, more than once a day). The data are collected in a 5-by-2 table of counts. Which of the following is the appropriate null hypothesis when conducting a chi-square test for the data?
C) H0 : How often a person purchases coffee from a coffeehouse is not associated with whether a person is a full-time student.
Step-by-step explanation:
This represents a chi-square test for independence because one sample was taken and two variables were observed. This is an appropriate null hypothesis for a chi-square test for independence in this study as it hypothesizes no association between coffee-purchasing habits and full-time student status.
This is how you get your answer you take 43.9 and divide it by 12.7 which gives you 3.4566 and add .52 to get 3.9766 then you multiply that number by 12.7 which gives you 50.5 so $50.5 is how much she would have originally payed.
