Question

When would you use a chi-square test, what are its assumptions, and what does the textbook recommend for reporting its effect size?

Answer #1

The chi-square statistic is commonly used for testing relationships between categorical variables. There are two types of chi-square tests:

- A chi-square goodness of fit test determines if a sample data matches a population.
- A chi-square test for independence compares two categorical variables to see if they are related.

The chi-square statistic requires that the following assumptions are met:

- The variables should be measured at an ordinal or nominal level (i.e., categorical data).
- The variables should consist of two or more categorical, independent groups.

There are three different measures of effect size for chi-squared test, Phi (?), Cramer's V (V), and odds ratio (OR).

How many different tests does the textbook gives you
for applying the chi-square distribution? what are the these tests?
How could you use each of these tests at your place of
business?

Identify, describe and test the assumptions related to
the Chi-Square technique

If you are comparing counts of two unrelated nominal variables
with a chi-square test, what remaining assumption you need to check
before continuing? What options do you have if your assumptions are
not met?

When conducting a hypothesis test with chi-square analysis, the
rejection region in a chi-square distribution is always in the
upper or right tail.
Group of answer choices
True
False

Chi-Square test. This test is typically used when you have
categorized / paired and continuous / discontinuous data items in a
sample

How could you use Expected Value in your life or future
profession?How
might the Chi-square test be a useful tool in your future
profession? What might be a proposed study of interest in your
future profession be that would utilize a Chi-square test (be sure
to include the categorical variables in the study)?

Use a Chi square test to determine if the observed numbers 308,
134 and 155 represents a ratio of 9:3:4. What is your Chi square
value correct to 2 decimal places?"Use a Chi square test to
determine if the observed numbers 308, 134 and 155 represents a
ratio of 9:3:4. What is your Chi square value correct to 2 decimal
places?"

1. What are the
assumptions for a Chi Square Test for Homogeneity? Mark all
that apply.
Group of answer
choices
Expected Cell Count
Condition
Independence
Assumption
Counted Data
Condition
Randomization
Condition
Normal
Distribution
2. A department store
manager wants to determine if current preferences of athletic
brands differ from previous preferences. Historically, the
preferences of the 4 main athletic brands have been 40% Nike, 30%
Adidas, 25% Under Armour, and 5% New Balance. Suppose a random
sample of 600 customers...

What are the three uses of the Chi-Square test?

What are the similarities between the Chi-square test and
McNemars test?

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 3 minutes ago

asked 8 minutes ago

asked 34 minutes ago

asked 36 minutes ago

asked 42 minutes ago

asked 44 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 2 hours ago