Compare the chi-squared test for goodness of fit to the
chi-squared test for independence. Be sure to mention number of
samples and the number of levels of categories for your comparison.
Also provide the alternative hypothesis for both.
Create an experiment which would use a Chi-Squared for Goodness
of Fit test in order to examine a topic of either race or gender in
society.
What is your independent variable?
please help me with this assignment, but only if you're willing
to do it and not copy and paste someone else's work. thank you in
advance.
Describe how to obtain a p-value for a chi-squared test
for goodness of fit. Then describe how to obtain a
p-value for a chi-squared test for independence. Make sure how to
point out the differences from your answer to the question
above.
Please use simple terms! I have no idea what's going
on.
For a Chi-Squared Goodness of Fit Test about a uniform
distribution, complete the table and find the test statistic.
Round to the fourth as needed.
Categories
Observed
Frequency
Expected
Frequency
1
23
2
39
3
50
4
32
5
15
6
31
Test Statistic:
Chi- squared Goodness of fit
7) An education council says that 22% of undergraduates do not
work, 26 % work 1 to 20 hours per week, 18% work 21 to 34 hours per
week, and 34% work 35 or more hours per week. You randomly select
120 college students and gather the results shown in the table
below. At alpha = 0.01 can you reject the council`s claim.
Response
Did not work
29
Work 1 to 20 hours
26
Work...
Determine the critical value of chi squared x2 with 1
degree of freedom for α=0.05
The critical value of chi squaredχ2 is?
(Round to three decimal places as needed.)
Choose either the Chi Square Goodness of Fit test OR the Chi
Square Test for Independence. Give an example of a research
scenario that would use this test, including your hypothesis AND
what makes the test suitable for your variables chosen
Describe how to obtain a p-value for a chi-squared test
for independence.
Describe how the two sample means test is different from
the paired means test, both conceptually and in terms of the
calculation of the standard error.
What visualizations are useful for checking each of the
conditions required for performing ANOVA?