Two Or More Sample Hypothesis Testing Paper

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Two or More sample Hypothesis Testing Paper Duane Lundberg, Grace Njane, Horace Chatman, Mimi Hodac RES 342 September 12, 2011 Dr. Whitehead Two or More Sample Testing Paper A one sample hypothesis is an important tool for any researcher because it gives them the opportunity to look at distributive properties of the selected sample population. A two or more sample hypothesis test however gives the researcher the chance to compare different aspects of the compared samples. According to Applied Statistics in Business and Economics (2007), "Two-sample tests compare two sample estimates with each other, whereas one-sample tests compare a sample estimate with a non-sample benchmark (a claim or prior belief about a population parameter). Using the two sample hypothesis testing method, the members of Learning Team B could apply the methods to the data set on real estate created by Lind, Marchal, and Wathen (2008), We have used this information to create a hypothesis and to test our hypothesis against the given data. Numerical and verbal hypothesis statement A hypothesis is a testable statement that will provide an explanation that includes a prediction based upon an observation and testing results. Team B will use the ANOVA and the Kruskal-Wallis test to address the research question, “Does the distance from the center of the city affect the selling price of a home? An ANOVA test allows researchers to compare more than two means simultaneously, and trace sources of variation to potential explanatory factors (Doane & Seward, p. 439). Based on the hypothesis statement provided within the prior week, the null hypothesis state that the distance from the center of the city affects the selling price of a home and the alternative hypothesis will state that the distance from the center of the city has no relation to the

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