Write out the null and alternative hypotheses.

So it is an SPSS data set you need to evaluate with the following statistical test, please. You only have to write about 500 words. You will receive a dataset towards the end of November with supporting information. For this dataset, * Provide an initial paragraph to describe the sample. This should include descriiptive information about demographic variables in the data. This paragraph should point out any potential issues with individual observations that may be excluded from the analysis. * Run three statistical tests: * A chi-square test. * A paired samples t-test. * An ANOVA (and appropriate post hoc test). * You may choose the predictor and outcome variables yourself. However, you should choose a relationship that is potentially interesting from a marketing perspective. For example, an ANOVA between gender and age does not reveal marketing-relevant insights. * For each test: * Write out the null and alternative hypotheses. Think carefully about whether your hypotheses need to be directional. * Check whether the assumptions for statistical tests are met. You may add the tests of these assumptions in an appendix and briefly summarize them in the main body. The appendix should be organized and referenced. * Show descriiptive information in written and visual form for the variables that are being tested in each test. * Include all necessary information for each test. * If a multi-item scale was used, show the reliability analysis (i.e., Cronbach’s alpha). * Test statistics (p values, t values, etc.) * Interpret the test results and mention your decision regarding the hypotheses. * Write a final paragraph that summarizes the results. This summary should focus on the managerial (i.e., business-relevant insights) that you can take away from your statistical analysis. Do not focus on the statistical properties of the data in this part.

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