Question

**not hand Writing****please**

1. Define the following terms:

A. Contingency table

B. Chi-square test

2. List the assumptions required to perform a chi-square test?

Answer #1

1.

(a) Contingency Table is defined as a Table showing the distribution of one variable iin rows and another variable in columns, used to study the association between the two variables.

(b) Chi-square Test is defined as a Hypothesis Test where the Sampling Distribution of the test statistic is a chi - square distribution when the null hypothesis is true.

2. Assumptions required to perform a chi - square test:

(i) Each subject contributes data to only one cell. Hence the sum of all cell frequencies in the Table must be the same as the number of subjects in the experiment.

(ii) Thedata in the cells should be frequencies or counts of cases rather than percentages or some other transformation of the data.

(iii) The sampling method is Simple Random Sampling.

(iv) The variable understudy is categorial.

(v) The Expected value of the number of sample observations in each level of the vaiable is at least 5.

1.
What are the limitations of chi-square? Explain
2. Explain contingency table analysis and how is it
applied?
3. How many types of test are considered non-parameteric data
and briefly explain each?
4. What are the elements and assumptions of the Wilcoxon
Signed Rank Test?
5. What are the steps needed to calculate the Wilcoxon Rank
Sum Test?
6. Explain the summary of the chi-square steps.
7. Describe the Kruskal-Wallis Test

How is the chi-square independence test similar to the
goodness-of-fit test? How is it different?
What is the difference between McMemar’s Test and the
Chi-squared test for 2 by 2 table.
Question 2
A clinic administers two drugs to two groups of randomly
assigned patients to cure the same disease: 70 patients received
Drug 1 and 80 patients received Drug 2. The following table gives
the information about the number of patients cured and the once not
cured by each...

Given the following contingency table, conduct a test for
independence at the 1% significance level. (You may find it useful
to reference the appropriate table: chi-square table or F
table)
Variable A
Variable B
1
2
1
33
50
2
45
50
b. Calculate the value of the test statistic.
(Round intermediate calculations to at least 4 decimal
places and final answer to 3 decimal places.)

the
term contingency table goes with
A. problems where df<1
B. all chi-swures tests
C. test of goodness fit
D.tests of independance only

For each of the following examples, state whether the chi-square
goodness-of-fit test or the chi-square test for independence is
appropriate, and state the degrees of freedom (df) for the
test.
Part (a)
A student tests whether the professor's speaking style (monotone,
dynamic) and student interest (low, average, high) are
independent.
State whether the chi-square goodness-of-fit test or the chi-square
test for independence is appropriate.
chi-square goodness-of-fitchi-square test for
independence
State the degrees of freedom for the test.
df =
Part...

by utilizing this chi-Square Test answer the following question
and explain what the table means.
Are Americans in favor of the use of unmanned drones by
police agencies in the United States?
Table 4
Chi-Square Test for Association: Gender, Opinion
Gender
-1
0
1
Total
39
17
44
100
Male
39.2
25.13
35.68
0.0010
2.6278
1.9409
39
33
27
99
Female
38.8
24.87
35.32
0.0010
2.6544
1.9605
Total
78
50
71
199
Note. Possible responses (-1, 0, and 1). -1...

QUESTION 1
The number of degrees of freedom for the appropriate chi-square
distribution in goodness of fit test is
A
n − 1
B
(r-1)(c-1)
C
a chi-square distribution is not used
D
k − 1
QUESTION 2
A goodness of fit test and test of independence is always
conducted as a
A
upper-tail test
B
left-tail test
C
middle test
D
lower-tail test
QUESTION 3
The number of degrees of freedom for the appropriate chi-square
distribution in a test...

How to perform the chi-square test and get the p-value. Please
explain that using a problem as an example. Thank you！

When performing a
chi squaredχ2
test for independence in a contingency table with r rows and c
columns determine the upper-tail critical value of the test
statistic in each of the following circumstances.
a. a=0.05, r=4, c=3
b. a= 0.01, r=5, c=6
c. a=0.01, r=5, c=4
d. a=0.01, r=3, c=4
e. a=0.01, r=4. c=5

*4.) For each of the following examples, state whether the
chi-square goodness-of-fit test or the chi-square test for
independence is appropriate, and state the degrees of freedom
(df) for the test.
Part (a)
An instructor tests whether class attendance (low, average, high)
and grade point average (low, average, high) are independent.
State whether the chi-square goodness-of-fit test or the chi-square
test for independence is appropriate.
chi-square goodness-of-fitchi-square test for
independence
State the degrees of freedom for the test.
df =...

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