Question

Suppose you are interested in whether or not there are differences between males and females in time spent per day talking on the phone. You hypothesize that females spend more time per day (in minutes) talking on the phone than males. After you entered your data, you performed descriptive statistics.

Based on the output from the descriptive statistics below, what analysis should you perform to test your hypothesis? Explain why you chose that test.

1. Suppose you are interested in whether or not there are differences between males and females in time spent per day talking on the phone. You hypothesize that females spend more time per day (in minutes) talking on the phone than males. After you entered your data, you performed descriptive statistics Based on the output from the descriptive statistics below, what analysis should you perform to test your hypothesis? Explain why you chose that test. (2 points) Histogram Gender Male Gender: 1.00 Mean 29.12 Std. Dev. 22.735 N 24 Statistics Minutes Valid 24 Missing 0 Mean 29.1250 Skewness .997 Std. Error of Skewness 472 Minimum 3.00 Maximum 90.00 a. Gender 1.00 80.00 40.00 60.00 00 20.00 100.00 Minutes Histogram Gender: 2.00 15- Mean 67.21 Std. Dev. 54.598 N-28 Gender Female Statistics 10- Minutes Valid 28 Missing 0 Mean 67.2143 Skewness 2.534 Std. Error of Skewness 441 Minimum 15.00 Maximum 280.00 200.00 50.00 a. Gender 2.00 00 100.00 150.00 250.00 300.00 Minutes Frequency Auanba

Answer 1

We would carry out an independent samples t test on this data to check whether the average no. of minutes spend by females on the phone differs significantly from the average no. of minutes spend by males on the phone. The sample means are quite different from each other. It would then be better to check whether this difference is significant in the population of all males and females.