An Inferential Statistic of Housing Problems - Assignment Example

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An Inferential Statistic of Housing Problems

The null hypothesis of equal variances is rejected and it is concluded that there is a difference between the variances in the population.It is called heteroscedasticity. Some of the procedures typically assuming homoscedasticity are the ANOVA, t-tests.Levene's test is often used before a comparison of means. When Levene's test shows significance, one should switch to generalized tests, free from homoscedasticity assumptions. Since the p-value is less than 0.05 ( 0.000) in this case hence homoscedasticity or equal variances cannot be assumed. The computed t statistic is 6.95 which is more than the assumed or critical t statistic of 6.82 for assuming equal variance. The degree of freedom is hence retained as 957.51 and the p values as stated is <0.05 which is 0.000. Hence we conclude there is a significant difference in variance between the two groups and the null hypothesis of equal variance assumption cannot be obeyed and so the alternate hypothesis that the variance is significantly different from each other has to be considered. Hence we can conclude the employed women suffer from less depression than employed ones and that hypothesis is correct. 5. Since the p-value is greater than the chosen level of significance of 0.05 hence we can conclude there is no difference between the two groups.  Hence the hypothesis:” Women who reported depression scores in wave 1 and wave 2 of the study did not have a significant difference in their level of depression.” Is correct.(Zimmerman, 1997) ...Show more

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The writer of a paper "An Inferential Statistic of Housing Problems" reports that an inferential statistic used to assess the equality of variances (squared deviations of the difference between raw scores and mean score for a variable) which is calculated for two or more groups…
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An Inferential Statistic of Housing Problems essay example
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