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. Verify the expected counts using the equation: expected = row total x column total / (divided by) table total2. At a significance level of .05, what can you conclude in the context of this problem?3. Verify the χ2 test statistic using: X2 = ∑ (observed - expected) 2 /(divided by) expected. High Salary * Free Agent CrosstabulationFree AgentNot Free Agent Free AgentTotalHigh Salary Normal Salary Count18561246Expected Count148.297.8246.0% within Free Agent91.1%45.5%73.0%High SalaryCount187391Expected Count54.836.291.0% within Free Agent8.9%54.5%27.0%TotalCount203134337Expected Count203.0134.0337.0% within Free Agent100.0%100.0%100.0%Chi-Square TestsAsymptoticSignificance (2- Exact Sig. (2-sided)Exact Sig. (1-sided)Valuedfsided)Pearson Chi-Square85.190°1.000Continuity Correctionb82.891.0001Likelihood Ratio86.8721.000Fisher's Exact Test.000.000Linear-by-LinearAssociation84.9371.000N of Valid Casesa. O cells (0.0%) have expected count less than 5. The minimum expected count is 36.18.337b. Computed only for a 2x2 table CrosstabsCase Processing SummaryCasesValidMissingTotalNPercentNPercentNPercentHigh Salary * Free Agent337100.0%0.0%337100.0%

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Description: 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

Chi square χ2 test: Chi square association test is useful to determine whether there is association…

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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. Verify the expected counts using the equation: expected = row total x column total / (divided by) table total 2. At a significance level of .05, what can you conclude in the context of this problem? 3. Verify the χ2 test statistic using: X2 = ∑ (observed - expected) 2 /(divided by) expected.

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. Verify the expected counts using the equation: expected = row total x column total / (divided by) table total 2. At a significance level of .05, what can you conclude in the context of this problem? 3. Verify the χ2 test statistic using: X2 = ∑ (observed - expected) 2 /(divided by) expected.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter4: Eigenvalues And Eigenvectors

Section4.6: Applications And The Perron-frobenius Theorem

Problem 22EQ

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