Deck 12: Chi-Square Analysis

Question 1

A researcher is interested in whether or not attendance at a community meeting in the last 6 months (yes or no) is related to voting in the last election (yes or no). What is the appropriate statistical test to address this question?

A) t-test
B) ANOVA
C) correlation
D) chi square

Answer 1

D

Question 2

Having a small sample size in a chi square test could affect the test's__________________.

A) distribution
B) t-statistic
C) F-statistic
D) validity

Answer 2

D

Question 3

If you perform a chi square analysis and you obtain a p-value of .032, the relationship between the variables of interest is _________________.

A) strong
B) weak
C) statistically significant
D) not statistically significant

Answer 3

D

Question 4

The minimum expected frequency score per cell is what?

A) 15
B) 10
C) 5
D) There is no minimum

Question 5

What is the typically accepted p-value for the chi square test to be a significant result?

A) .50
B) .10
C) .05
D) .04

Question 6

What is the symbol for chi square?

A) β²
B) α²
C) ς²
D) χ²

Question 7

A _____________________ does not start with the assumption of a normally distributed population and does not use continuous level of measurement.

A) statistic
B) parametric test
C) nonparametric test
D) t-test

Question 8

All _______________ tests share the assumption of normally distributed population data.

A) statistic
B) parametric
C) nonparametric
D) frequency

Question 9

The _____________________ is calculated as the row total multiplied by the column total, all divided by the overall total.

A) chi square
B) observed frequency
C) expected frequency
D) significance level
True/False

Question 10

ANOVA belongs to the _________________ family of tests, while chi-square belongs to the _______________ family.

A) statistical; parametric
B) statistical; nonparametric
C) parametric; nonparametric
D) nonparametric; parametric

Question 11

Chi square is used to examine the ________________ between _________________ variables.

A) difference; continuous
B) difference; categorical
C) relationship; continuous
D) relationship; categorical

Question 12

Emily presents a hypothesis which states "There is no relationship between people's views whether or not diversity training should be required and their training attendance." This is her ___________________ hypothesis.

A) alternative
B) research
C) working
D) null

Question 13

When using chi square it is important to pay attention to the _______________________.

A) distribution
B) t-statistic
C) F-statistic
D) sample size

Question 14

In a contingency table the rows represent the ___________________.

A) independent variable
B) dependent variable
C) cases
D) groupings of one variable

Question 15

The ___________________ is the actual frequency of occurrences for each category cell.

A) chi square
B) observed frequency
C) expected frequency
D) significance level

Question 16

The correlation analysis and the chi square analysis are similar because they both _______________.

A) do not assume a normally distributed population
B) examine the difference between groups
C) rely on frequencies to determine significance
D) examine relationships between groups

Question 17

The chi square analysis is based on the observed and expected _________________ of the observation.

A) distribution
B) frequency
C) direction
D) strength

Question 18

The __________________ is what occurrences would be anticipated if the distribution among the cells is left to chance

A) chi square
B) observed frequency
C) expected frequency
D) significance level

Question 19

If you are examining the relationship between two continuous variables, what would be the appropriate test?

A) Pearson product moment correlation
B) Chi square
C) t-test
D) ANOVA

Question 20

Chi square is often referred to as ________________________.

A) two-way contingency table analysis
B) 2x2 correlation
C) two-way frequency table analysis
D) one-way frequency table analysis

Question 21

A two-way contingency table analysis is so named because it uses a 2x2 table that cross-tabulates the frequency of the cases within each possible category.

Question 22

Since there is no assumption of normally distributed data, statistical significance is not used for chi square.

Question 23

What are the similarities and differences between correlation and chi-square?

Question 24

The chi square statistic is a measure of how strong a relationship is between two variables.

Question 25

How do parametric tests differ from nonparametric tests.

Question 26

A chi square test uses interval data to draw an analysis.

Question 27

Identify a research question that you would address with a chi square analysis. What research design would you suggest to answer this question?

Question 28

A null hypothesis is not used in a chi square test because there is a different logic underlying the test.

Question 29

The chi square statistic is a measure of magnitude of difference between the groups.

Question 30

Chi square relies on the use of both the observed frequencies and calculated expected frequencies.

Question 31

A chi square analysis is an example of a non-parametric test.

Question 32

Chi square examines the relationship between two categorical variables.

Question 33

A chi square test determines significance based on whether or not the observed frequencies could occur by chance.