create a dummy data set that mimics the data collection that they propose

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Mean and Standard Deviation are most clearly presented in parentheses:

The sample as a whole was relatively young (M = 19.22, SD = 3.45).

The average age of students was 19.22 years (SD = 3.45).

Percentages are also most clearly displayed in parentheses with no decimal places:

Nearly half (49%) of the sample was married.

Chi-Square statistics are reported with degrees of freedom and sample size in parentheses, the Pearson chi-square value (rounded to two decimal places), and the significance level:

The percentage of participants that were married did not differ by gender, χ2 (1, N = 90) = 0.89, p = .35

T Tests are reported like chi-squares, but only the degrees of freedom are in parentheses. Following that, report the t statistic (rounded to two decimal places) and the significance level.

There was a significant effect for gender, t(54) = 5.43, p < .001, with men receiving higher scores than women.

ANOVAs (both one-way and two-way) are reported like the t test, but there are two degrees-of-freedom numbers to report. First report the between-groups degrees of freedom, then report the within-groups degrees of freedom (separated by a comma). After that report the F statistic (rounded off to two

 

decimal places) and the significance level.

There was a significant main effect for treatment, F(1, 145) = 5.43, p = .02, and a significant interaction, F(2,

145) = 3.24, p = .04.

Correlations are reported with the degrees of freedom (which is N-2) in parentheses and the significance level:

The two variables were strongly correlated, r(55) = .49, p < .01. 

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