Question

-which of these is an advantage of using a transformed score when reporting the score of an individual case?

Transformed scores will be reported on the nominal level.

Transformed scores will allow the mean score to be reported.

Transformed scores provide a measure of variability.

Transformed scores provide a context for the individual's score

-Which of these would be considered a transformed score?

percentile ranks and t scores

t scores

z scores and percentile ranks

z scores

-If Elliot collects data from a single sample and her dependent variable is assessed on a nominal scale, which of these difference tests would Elliot need to use to analyze her data?

chi square goodness of fit test

single sample t test

single-sample z test

between-subjects, one-way ANOVA.

-Principal Jones collects data on how students in her school performed on a standardized test that is measured on an interval scale. If the population standard deviation is not known, the appropriate difference test for Principal Jones to use is:

chi square goodness of fit test

between-subjects, one-way ANOVA.

single sample z test

single sample t test

-Krista wants to compare males and females on smoking behavior. If smoking is measured as a nominal variable (i.e., smoker, nonsmoker, and former smoker), what difference test should Krista use to determine if males and females differ on smoking behavior?

independent-samples t test

paired samples t test

Mann–Whitney U test

chi square test of independence

Answer 1

1) After transformed the individual score, the transformed score provides a context of individual score.

Last option is correct.

Transformed scores provide a context for the individual's score

2) To find the transformed score, subtract the mean from the original score and divide byt the standard deviation which is also called z score.

So the last option is correct.

Z scores

3) If the single sample data is measured on nominal scale then chi square test is used to analyze the data.

First option is correct.

chi square goodness of fit test.

4) The data of test scores measure on interval scale, that is quantitative data.

And when the population standard deviation is not known then t test is ueed and when it is known then z test is applicable.

So for interval scale data and the population sd is not known then single sample t test is appropriate.

Last option is correct

single sample t test.

5) There are two categorical variables like Smoking behavious like (smoker, non-smoker and formal smoker) and gender (male and female). To analyze or to check the association between the categorical variables chi square test of independence is used.

Last option is correct.

Chi square test of independence.