A researcher investigating 'Pygmalion in the classroom' measured teachers' perceptions of male and female students' mathematical abilities. She wanted to test whether teachers perceived males as being better at maths by comparing teachers' mean ratings of 97 male and female students. Based on the output, what action should the researcher take before testing whether the mean teacher perceptions are different for male and female students? Tests of Normality Kolmogorov-Smirnov? Teachers perception of mathematical ability Statistic: .121 df: 97 Sig: .001 Shapiro-Wilk Teachers perception of mathematical ability Statistic: .973 df: 97 Sig: .044 a. Lilliefors Significance Correction Tests of Normality Kolmogorov-Smirnov? Gender: Female Statistic: .123 df: 50 Sig: .056 Gender: Male Statistic: .117 df: 47 Sig: .118 Shapiro-Wilk Gender: Female Statistic: .962 df: 50 Sig: .111 Gender: Male Statistic: .968 df: 47 Sig: .225 a. Lilliefors Significance Correction Take no action. Log-transform the data. Use bootstrapping. Automatically delete extreme scores.
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