Question
In: Statistics and Probability
Calculate the test statistic, x^(2), for a chi-squared test for association using the following table. The...
Calculate the test statistic, x^(2), for a chi-squared test for
association using the following table.
The following data represents the observed values and expected
values of the eating habits of runners and swimmers for a random
sample of adult athletes.
|
Prefer to eat before workout. |
Prefer to eat after workout. |
Total |
|
|
Runner |
68 |
121 |
189 |
|
Swimmer |
73 |
128 |
201 |
|
Total |
141 |
249 |
390 |
Solutions
orchestra answered 11 months agoRelated Solutions
Compare the chi-squared test for goodness of fit to the chi-squared test for independence. Be sure...
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.
Calculate allele frequencies and use the Chi squared and G statistic to determine whether the population...
Calculate allele frequencies
and use the Chi squared and G statistic to determine whether the
population is in HW equilibrium.
Blood
Type
Frequency
O
44.00
A
42.00
B
10.00
AB
4.00
For a Chi-Squared Goodness of Fit Test about a uniform distribution, complete the table and find...
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:
1.) is there a difference between "2-way Chi-squared" and just "Chi-squared" or are they the same?...
1.) is there a difference between "2-way Chi-squared" and just
"Chi-squared" or are they the same? 2.) How do you find the
measurement?
Use the Chi-Square Statistic to test the association between bike injury and distance to urban area....
Use the Chi-Square Statistic to test the association between
bike injury and distance to urban area.
Interpret your resulting Chi-Square Statistic on
your calculation sheet.
Range of Distances
Number of Cases
Number of Controls
Odds Ratio
0-1km
130
65
1.0
1-2km
20
10
1.0
2-4km
36
19
0.95
4-6km
24
11
1.1
Using R and R Commander, perform a Chi-squared test of independence with marstatus in the Columns...
Using R and R Commander, perform a Chi-squared test of
independence with marstatus in the Columns and gender in the Rows.
Click on Statistics tab and select the first three options under
Hypothesis Tests. Copy the output and paste it below this question.
Is the Chi-squared test significant at the 5% alpha level?
Are the results reliable? Please see data below. Can you
explain?
Frequency table:
marstatus
gender Divorced Married
Single
Female
2
6 9
Male
1
0 6...
For the Chi-squared for independence problem: (1) state the populations and hypotheses; (2) create a table...
For the Chi-squared for independence problem:
(1) state the populations and hypotheses;
(2) create a table for the data;
(3) conduct a Chi-Squared for independence test using the SPSS
program and paste the output information;
(4) state the results using the proper APA format; and
(5) answer any question.
Place all of this in a word document and be sure to include any
relevant output information from SPSS.
1. A health psychologist was interested in women's workout
preferences. Of the...
You have been using the chi-square test of independence to test for association between two variables....
You have been using the chi-square test of independence to test
for association between two variables.
1) Give an example of a pair of variables for which you would
expect to find no association.
2) Give an example of a pair of variables for which you would
expect to find association, but not a causal relationship.
3) Finally, give an example of a pair of variables for which you
would expect to find a causal relationship.
chi-squared test ( χ2 test) problem We're interested in the weight of babies born not prematurely...
chi-squared test ( χ2 test) problem
We're interested in the weight of babies born not prematurely but
after a pregnancy shorter than average. Of a sample of 300 children
born in April, the found as follows:
. born after 37 weeks: 30 slightly underweight; 20 normal
weight.
. born after 38 weeks: 40 slightly underweight; 60 normal
weight.
. born after 39 weeks: 50 born slightly underweight; 100 normal
weight.
(a) Identify the two variables studied in the sample and...
chi-squared test ( χ2 test) problem We're interested in the weight of babies born not prematurely...
chi-squared test ( χ2 test) problem
We're interested in the weight of babies born not prematurely but
after a pregnancy shorter than average. Of a sample of 300 children
born in April, the found as follows:
. born after 37 weeks: 30 slightly underweight; 20 normal
weight.
. born after 38 weeks: 40 slightly underweight; 60 normal
weight.
. born after 39 weeks: 50 born slightly underweight; 100 normal
weight.
(a) Identify the two variables studied in the sample and...
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