Nonparametric Hypothesis Testing

# Nonparametric - T1 13731.4/59 T2 9484.4/46 n1 59 n2 46 Nonparametric hypothesis 1 Nonparametric Hypothesis Testing Learning Team A Misti Glenn Mike

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T1 13731.4/59 T2 9484.4/46 n1 59 n2 46 Nonparametric hypothesis 1 Nonparametric Hypothesis Testing MGT342 – Mark Talbott University of Phoenix – North Florida Thursday August 26, 2010

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Nonparametric hypothesis 2 Nonparametric Hypothesis Testing According to Doane & Seward (2007), one major problem with hypothesis tests is the need to estimate unknown variables. Since Team A is building on the two-sample hypothesis testing performed previously, they will be using the Mann-Whitney Test (Doane & Seward, 2007). This team conducted a five-step two-sample hypothesis test to determine if homes located closer to the city center are more expensive than homes located further from the city center. This parametric test assumed normality, while the nonparametric test to be performed does not (Doane, 2007). Based on the finding from the data and previous test, the null hypothesis was rejected. The data was pulled from the table provided (Lind, Marchal, & Wathen, 2008). This team will be using the same research hypothesis for the Mann-Whitney Test: h : µ= 0 ( U 1 = U 2 , no difference in satisfaction) h : µ <> 0 ( U 1 = U 2 satisfaction differs for the two groups) Once the hypothesis has been stated, the next step is to select the alpha value. This team has selected an alpha value of 0.05, and has confirmed the usage of the z-statistic. This team’s decision rule, is that if the observed test statistic is less than the critical value, reject the null hypothesis. The third step is to calculate a statistic analogous to the parameter specified by the null
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## This note was uploaded on 03/15/2011 for the course RES 342 taught by Professor Carey during the Spring '08 term at University of Phoenix.

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Nonparametric - T1 13731.4/59 T2 9484.4/46 n1 59 n2 46 Nonparametric hypothesis 1 Nonparametric Hypothesis Testing Learning Team A Misti Glenn Mike

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