BNAD 276 Lecture Notes - Lecture 12: Null Hypothesis, Statistical Hypothesis Testing, Standard Deviation

• School: University of Arizona
• Department: Business Administration
• Course: BNAD 276
• Professor: Suzanne Delaney

Document Summary

Five steps to hypothesis testing: identify the research problem (hypothesis). Critical statistic value?: calculations, make decisions whether or not to reject the null hypothesis. If observed z is bigger than the critical z, then reject the null: conclusion - tie findings back into research problem. T-test vs one-way anova: t-test: one iv with two means, one-way anova: one iv with more than two means. One-way anova vs chi square: one-way anova: comparing means, chi square: comparing frequencies! Comparing anovas with t-tests - similarities: using distributions to make decisions about common and rare events, using distributions to make inferences about whether to reject the null hypothesis or not, the same 5 steps for testing a hypothesis. Comparing anovas with t-tests - differences: anovas can test more than two means, we are comparing sample means indirectly by comparing sample variances. F = ms (between) / ms (within) Within groups = variability of the curve. Anovas can test more than two means.