1. The chi-square test tells us: a. Whether there is a relationship or association b. Effect

Jasper Carlson

Jasper Carlson

Answered question

2022-03-03

1. The chi-square test tells us:
a. Whether there is a relationship or association
b. Effect size (how small or large the association is)
c. Both a and b
d. None of the above
2. The chi-square test requires that the
a. Frequencies represent independent counts (not ranks or percentages)
b. Categories are mutually exclusive and exhaustive, i.e., that is every subject can be assigned to only one appropriate category
c. Data are independent, i.e., repeated measures are not allowed
d. All of the above
3. The following is true about the chi-square test:
a. It compares observed frequencies with the expected frequencies
b. Greater the difference between the observed and the expected frequencies, greater the value of calculated chi-square
c. Degrees of freedom = (rows-) x (columns-1)
d. All of the above

Answer & Explanation

razlikaml42

razlikaml42

Beginner2022-03-04Added 5 answers

1. The chi-square test is used to find the association between two variables and the impact of variables on each other. Thus, the correct option is C.
c. Both a and b
2. In chi-square, the data is independent and categories are mutually exclusive. Therefore, the correct option is D.
d. All of the above
vzletanje8z0

vzletanje8z0

Beginner2022-03-05Added 6 answers

3. It is true that the observed frequencies are compared to expected frequencies, a greater difference between expected and observed frequency, the higher will the score and df = (r-1) (c-1). Therefore, the correct option is D.

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