We are performing a Chi-Square Test for Goodness of Fit on a factor with six categories. What is the number of degrees of freedom that we have when finding the critical X² value?

A.1

B.2

C.5

D. 6

We would like to know whether occupation is associated with the outcome of developing skin cancer. We obtain data from five different occupation categories (business owner, farmer, teacher, doctor, and lawyer) on skin cancer occurrence (whether the person developed skin cancer, or did not develop skin cancer). We would like to perform a chi-square test to examine the association between occupation category and skin cancer occurrence. Which type of chi-square test would we perform?

1. Chi-Square Test for Goodness of

Chi-Square Test of Independence

Which of the following significance tests is known as a global or omnibus test, where we can only have a nondirectional research hypothesis?

A. One-Sample z Test

B. t Test for Independent Samples

C. Paired t Test for Dependent Samples

D. Chi-Square Test for Goodness of Fit

You ask 200 COVID-19 patients the extent to which they agree with the following statement: I felt that the COVID-19 isolation guidelines shared with me were easy to understand. Patients could respond with one of the following answers: Strongly disagree, Disagree, Agree, or Strongly agree. How many patients would you expect to fall into each response category, according to random chance?

A. 200

B. 50

C. 25

D. 100

Are chi-square tests parametric or nonparametric significance tests?

A. Parametric

B. Nonparametric

C. Not enough information to determine

We are performing a Chi-Square Test of Independence on two factors. Our first factor has 3 categories, while our second factor has 2 categories. What is the number of degrees of freedom that we have when finding the critical X2 value?

A. 3

B. 5

C. 6

D. 2

You perform a Chi-Square Test for Goodness of Fit on a factor with five categories. Your alpha value, or level of signficance, is set to 0.10. You calculate your chi-square test statistic, which is 9.67. Does your obtained test statistic exceed the critical X2 value?

A. Yes

B. No

C. Not enough information to determine

We would like to perform a t test for dependent samples, but learn that the assumption of normally distributed differences between paired values has been violated in our dataset. What do we do next?

A. Abandon all statistical analyses. There is nothing that can be learned from our data.

B. Look into nonparametric tests to determine if a nonparametric test could be used instead.

C. Perform the t test for dependent samples, anyway.

You are performing a chi-square test as part of a research study and your null hypothesis is the following: There is no association between Factor 1 and Factor 2; these factors are independent from one another. Which type of chi-square test are you performing?

A. Chi-Square Test for Goodness of Fit

B. Chi-Square Test of Independence

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