Explain how the chi-square tests differ from parametric tests
(such as t tests or ANOVA) with...
Explain how the chi-square tests differ from parametric tests
(such as t tests or ANOVA) with respect to the hypotheses, the
data, and the assumptions underlying the test.
8.Both ANOVA and Chi square tests are always right tail tests
10.For ANOVA, you only complete a Tukey's means comparisons test if
the overall F* value was significant (i.e., p<0.05) T/F
10.For ANOVA, you only complete a Tukey's means comparisons test
if the overall F* value was significant (i.e., p<0.05) T/F
Identify the type of test (chi-square, t-test, or
ANOVA) that we have to use in each of the following scenarios.
Explain why you chose that test.
We want to compare males and females (gender) based on the
difference in time spent on social media (measured as hours per
day)
We want to compare our customers and the customers of our
closest competitors based on their brand loyalty (measured as a
Likert scale from 1 to 5)
We want to compare...
Question 7
Chi Square tests have an assumption of normality
True
False
Question 8
Both ANOVA and Chi square tests are always right tail tests
True
False
Question 9
For a Chi Square test of Association, you ask if mouse hair
color (black, grey or white) is associated with whisker length
(short, medium or long). The df for this analysis would be: Give
answer as X
Question 10
For ANOVA, you only complete a Tukey's means comparisons test if
the...
Are
one way ANOVA, Bartletts test and Levene test parametric or non
parametric hipothesis tests and why?
I need some explanation on this as i dont quite understand
what it means to be a parametric or non parametric test. Thank
you?
Find a research article that uses either: t-test, ANOVA,
chi-square, or correlation. What was their hypothesis? What were
their conclusions? What were the limitations of the
analysis/analyses that they used?
If you were to conduct a similar experiment, what would your
hypothesis be? How would you go about collecting data (describe the
nature of your sample: where would you access participants, how
many people would you sample, etc.)? What analysis/analyses would
you use to test your hypothesis? Why is this...
Assignment #7: One-sample Chi-Square
Directions: Use the Chi-Square option in the Nonparametric Tests
menu to answer the questions based on the following scenario.
(Assume a level of significance of .05 and use information from the
scenario to determine the expected frequencies for each
category)
During the analysis of the district data, it was determined that
one high school had substantially higher Graduate Exit Exam scores
than the state average and the averages of high schools in the
surrounding districts. To...
Assignment #7: One-sample Chi-Square
Directions: Use the Chi-Square option in the Nonparametric Tests
menu to answer the questions based on the following scenario.
(Assume a level of significance of .05 and use information from the
scenario to determine the expected frequencies for each
category)
During the analysis of the district data, it was determined that
one high school had substantially higher Graduate Exit Test scores
than the state average and the averages of high schools in the
surrounding districts. To...