Spss

Part A

(a) The Independent-samples t-test could be used to determine if males and females differ in terms of the number of cups of coffee consumed in a week.

According to SPSS Survival Manual (Julie, p247), “An independent-samples t-test is used to compare the mean score, on some continuous variable, for two different groups of participants”. The two variables used are gender (1= “males”, 2= “females”) and the number of cups of coffee consuming (Coffee consumption). The independent-samples t-test will show the result about whether males and females differ significantly in terms of the number of cups of coffee consuming.

The results of Independent-samples t-test are shown in the appendix.

(b) The key values of the output include:

* To check the mean, standard deviation, the number of people (N) of male and female in the Group Statistics box.

* Checking the Levene’s Test for Equality of Variances in the Independent Samples Test box

* To assess the differences between the groups via Sig. (2-tailed) under the section of t-test for Equality of Means

* Checking the mean difference and 95% Confidence Interval of the Difference of the Lower and Upper value.

The significance level of Levene’s test is .001, which is less than .05; it means that the variances for males and females are not the same. The information of in the second row of “Equal variances not assumed” will be used. The value of Sig. (2-tailed) is .032, which is less than .05; there is a significant difference in the mean coffee consumption scores for males and females.

All in all, the independent-samples t-test was conducted to compare the number of cups of coffee consuming for males and females. There was a significant difference in scores for males (M=4.13, SD=2.409) and females (M=5.73, SD=3.783; t (60.248)=-2.200). The magnitude of the differences in the means (mean difference=-1.605, 95% CI: -3.064 to -.146) was very small.

(c) The assumptions include:...