Doane's 4-step hypothesis for chi square test
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Variables and Level of Measurement Length: One sentence per variable
Identify the dependent and independent variables used in this paper, and their level of measurement (attribute or numeric).
Methodology (using Chi-Square)
Determine the appropriate statistical tool to test the hypothesis. Use Doane's 4-step hypothesis You may use the P-value method or the comparison method Length: Three-quarter page.
Step 1: Choose the Hypothesis (use symbols)
Step 2: Specify the Decision Rule
Step 3: Calculate the Test Statistic
Step 4: Make a Decision
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Solution Summary
The solution provides step by step method for the calculation of a chi square test. The formula for the calculation and interpretations of the results are also included.
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Introduction
Attendance plays an important role in a child's performance at school. When a child misses school on a regular basis it may alter the child's interest in school thus leading to the desire to drop out entirely. The purpose of this test is to examine students who learn at a slower pace versus students who learn at a regular or average pace and how the speed of learning can affect whether or not the child will attend school.
The data used to perform this test was given by, The Statistical Analysis of Discrete Data by T.J. Santner & D.E. Duffy. The paper will describe the results of this hypothesis test using a nonparametric test. A nonparametric test is widely used in identifying population differences when certain assumptions are not satisfied.
Research Question
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