Question

1. A pilot survey was conducted with thirty respondents to examine Internet usage for personal (nonprofessional) reasons. The following table contains the resulting data giving each respondent’s sex (1 = male, 2 = female); familiarity with the Internet (1 = very unfamiliar, 7 = very familiar); Internet usage in hours per week; attitude toward Internet and toward technology, both measured on a 7-point scale (1 = very unfavorable, 7 = very favorable); and whether the respondent shopped or banked online (1 = yes, 2 = no). {DATA IN EXCEL IS ATTACHED or See end of this file to enter it by yourself}
a. Obtain the frequency distribution of familiarity with the Internet. Calculate the relevant statistics.
b. For the purpose of cross-tabulation, classify respondents as light or heavy users. Those reporting five hours or less usage should be classified as light users and the remaining as heavy users. Run a cross-tabulation of sex and Internet usage. Interpret the results. Is Internet usage related to one’s sex?
c. Test the hypothesis that the mean familiarity with the Internet exceeds 4.0.
d. Is the Internet usage different for males compared to females? Formulate the null and alternative hypotheses, and conduct the test.
e. Is the proportion of respondents using the Internet for shopping the same for males and females? Formulate the null and alternative hypotheses, and conduct the test.
f. Do the respondents differ in their attitude toward the Internet and attitude toward technology? Formulate the null and alternative hypotheses, and conduct the test.
g. Find the simple correlations between the following sets of variables: Internet usage and attitude toward the Internet, Internet usage and attitude toward technology, and attitude toward the Internet and attitude toward technology. Interpret the results.
h. Run a bivariate regression, with Internet usage as the dependent variable and attitude toward the Internet as the independent variable. Interpret the results.
i. Run a bivariate regression, with Internet usage as the dependent variable and attitude toward technology as the independent variable. Interpret the results.
j. Run a multiple regression, with Internet usage as the dependent variable, and attitude toward the Internet and attitude toward technology as the independent variables. Interpret the results.

Answer 1

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Answer 2

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