We are interested in looking at the effect of a baseball player’s free-agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not. 1. What are the four expected counts? 2. Verify the expected counts using the equation: ???????? = ??? ????? × ??????????? ÷ ????? ????? 3. The given χ2 test table gives many test statistics. The row we want to look at is labeled Pearson Chi-Square. What are the test statistic, the degrees of freedom, and the p-value
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
We are interested in looking at the effect of a baseball player’s free-agent status on their salary. We look at 337 baseball players and categorize them as either having a high salary (above 2 million) or not, and as either being free agents or not.
1. What are the four expected counts?
2. Verify the expected counts using the equation:
???????? = ??? ????? × ??????????? ÷ ????? ?????
3. The given χ2 test table gives many test statistics. The row we want to look at is labeled Pearson Chi-Square. What are the test statistic, the degrees of freedom, and the p-value?
![Crosstabs
Case Processing Summary
Cases
Valid
Missing
Total
N
Percent
N
Percent
N
Percent
High Salary * Free Agent
337
100.0%
0.0%
337
100.0%](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7fdf336d-4f09-474f-8885-c9f1cef645bf%2F4981305a-5e9c-4632-82ad-feac5f827b9e%2F524278l_processed.png&w=3840&q=75)
![High Salary * Free Agent Crosstabulation
Free Agent
Not Free Agent Free Agent
Total
High Salary Normal Salary Count
185
61
246
Expected Count
148.2
97.8
246.0
% within Free Agent
91.1%
45.5%
73.0%
High Salary
Count
18
73
91
Expected Count
54.8
36.2
91.0
% within Free Agent
8.9%
54.5%
27.0%
Total
Count
203
134
337
Expected Count
203.0
134.0
337.0
% within Free Agent
100.0%
100.0%
100.0%
Chi-Square Tests
Asymptotic
Significance (2- Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Value
df
sided)
Pearson Chi-Square
85.190°
1
.000
Continuity Correctionb
82.891
.000
1
Likelihood Ratio
86.872
1
.000
Fisher's Exact Test
.000
.000
Linear-by-Linear
Association
84.937
1
.000
N of Valid Cases
a. O cells (0.0%) have expected count less than 5. The minimum expected count is 36.18.
337
b. Computed only for a 2x2 table](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F7fdf336d-4f09-474f-8885-c9f1cef645bf%2F4981305a-5e9c-4632-82ad-feac5f827b9e%2F0pe5cqm_processed.png&w=3840&q=75)
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