Jose_Project_output

# Jose_Project_output - >> Asymp Sig(2-sided df Value...

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Jose, Janelle- Project Jose, Janelle Explanatory=Type Reponse=Class > > Total Transfer New TYPE Freshman Sophomore Junior Senior Total CLASS 220 20 200 74 9 65 56 5 51 60 5 55 30 1 29 CLASS * TYPE Crosstabulation Count Disturbution of Class "Conditional On" Type > > Total Transfer New TYPE Freshman Sophomore Junior Senior Total CLASS 100.0% 100.0% 100.0% 33.6% 45.0% 32.5% 25.5% 25.0% 25.5% 27.3% 25.0% 27.5% 13.6% 5.0% 14.5% CLASS * TYPE Crosstabulation % within TYPE Page 1

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Jose, Janelle- Project TYPE Transfer New Distribution of Class "Conditional On" Type Senior Junior Sophomore Freshman CLASS Any Extreme Cells? > > Transfer New TYPE Freshman Sophomore Junior Senior CLASS .9 -.3 .0 .0 -.2 .1 -1.0 .3 CLASS * TYPE Crosstabulation Std. Residual Page 2
Jose, Janelle- Project Probabilty?
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Unformatted text preview: > > Asymp. Sig. (2-sided) df Value Pearson Chi-Square Likelihood Ratio Linear-by-Linear Association N of Valid Cases 220 .170 1 1.884 .499 3 2.371 .554 3 2.091 a Chi-Square Tests a. 1 cells (12.5%) have expected count less than 5. The minimum expected count is 2.73. Calculated chi square value=2.091 Probability for calculated test statistic=.554 This probability is Larger than .05 This probability is Large These result is Common > These results Not likely to happen by chance alone I conclude the distributions of Class "Conditional On" Type do not differ I conclude Class and Type are Not associated Page 3...
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Jose_Project_output - >> Asymp Sig(2-sided df Value...

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