Ashford PSY325 2021 June Week 2 Weekly Review Latest

PSY325 Statistics for the Behavioral & Social Sciences

Week 2 Weekly Review   

Question 1How many categories can a variable in a chi-square test have?

  1

  2

  3

  unlimited

Found in Chapter 10 in section 10.2, The Chi-Square Tests

 

 Question 2The table used to organize the data in a chi-square test of independence is called a _____.

  significance table

  contingency table

  continuity table

  effect table

 Question 3The chi-square test of independence has how many variables?

  1

  2

  3

  unlimited

 Question 4Chi-square tests are designed to use which scale of data?

  Nominal

  Ordinal

  Interval

  Ratio

 Question 5The phi coefficient is appropriate to use to determine the strength of the relationship between two nominal variables when the chi-square test of independence is statistically significant AND _____.

  at least one of the variables has only two levels.

  there are at least 5 degrees of freedom.

  both variables have three or more levels.

  the chi-square value is negative.

 Question 6Cramer’s V should be used to determine the strength of the relationship between two nominal variables when the chi-square test of independence is statistically significant AND _____.

  at least one of the variables has only two levels.

  there are at least 5 degrees of freedom.

  both variables have three or more levels.

  the chi-square value is negative.

 Question 7Which of these variables is likely to be on a nominal scale?

  grade-point average

  height

  weight

  college major

 Question 8A chi-square test compares expected frequencies to _____.

  observed frequencies

  theoretical frequencies

  the normal distribution

  nonequivalent frequencies

 Question 9In the 1 x k and r x k chi-square tests, the k represents _____.

  the number of columns or categories in the problem.

  the kurtosis of the distribution.

  the correlation coefficient.

  the contingency coefficient.

 Question 10Two kinds of chi-square tests are which?

  Goodness-of-fit and independent t-test

  Goodness-of-fit and test of independence

  Test of independence and regression

  Correlation and regression