Tests of Normality Kolmogorov-Smirnov df Shapiro-Wilk df Sig Statistic .121 Sig

Question

Tests of Normality Kolmogorov-Smirnov df Shapiro-Wilk df Sig Statistic .121 Sig Statistic .973 Teachers perception of mathematical ability 97 .001 97 044 a. Lilliefors Significance Correction Tests of Normality Kolmogorov-Smirnov Shapiro-Wilk GenderStatistic Female Male Sig Statistic 962 968 Sig Teachers perception of mathematical ability 50 47 056 .118 50 47 .123 .225 a. Lilliefors Significance Correction 5. A researcher investigating 'Pvgmalion 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? A. Automatically delete extreme scores. B. Log-transform the data. C. Use bootstrapping D. Take no action.

Explanation / Answer

Hypothesis :

Ho: The sample data are not significantly different than a normal population.
Ha: The sample data are significantly different than a normal population.

Looking at given output ,

First output , Sig value for both test ( 0.001and 0.044 ) is < 0.05 .

Note :  testing for normality:

• Sig value > 0.05 mean the data are normal.
• Sig value < 0.05 mean the data are NOT normal.

So llking at first table we say that data is not normal .

I think they did Bootstapping d they get sign value for male and female as > 0.05

Since we say that Data is normal .

So I think here they need to use Boostrapping.

Related Questions

Navigate

• Browse (All)
• Browse T
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.