Bayesian Statistics vs. NHST

      To better understand the similarity and dissimilarity between Bayesian statistics and Null Hypothesis Significance Testing (NHST), read an excerpt from Jebb and Woo’s (2014) article, “Bayesian Statistics in a Nutshell.” Second, to further understand the similarity and dissimilarity between Bayesian statistics and NHST and the previous conflicts between supporters of each approach, read selected slides from Rice’s (2018) lecture, “Bayesian Statistics: A Very Brief Introduction.” Then answer the following questions Do you find Bayes statistics hard to understand? If so, why? Do you find Bayes statistics easy to interpret? If so, why? Have you used Bayes statistics before? If so, when? How do you think you’ll use Bayes statistics in the future? Finally, convert the following Null and Alternative Hypotheses into Bayesian hypotheses and probabilities (you can refer to the NHST and Bayesian Statistics Hypotheses document) Non-Directional H0: Blood pressure of active people is equal to the blood pressure of inactive people (BP-active = BP-inactive) HA: BP-active ≠ BP-inactive H0: average hours of sleep for people with depression = average hours of sleep for people without depression HA: average hours of sleep for people with depression ≠ average hours of sleep for people without depression H0: mean lifespan of smokers = mean lifespan of nonsmokers HA: mean lifespan of smokers ≠ mean lifespan of nonsmokers H0: IQ scores of people from families with net income of $50,000 = IQ scores of people from families with net income of $25,000 HA: IQ scores of people from families with net income of $50,000 ≠ IQ scores of people from families with net income of $25,000 H0: group participation of introverts = group participation of extroverts HA: group participation of introverts ≠ group participation of extroverts Directional H0: fertilized plants grow slower than unfertilized plants HA: fertilized plants grow faster than unfertilized plant H0: GPA-tutoring ≤ GPA-not tutoring HA: GPA-tutoring > GPA-not tutoring H0: Insecurity of people who spend 2+ hours a day on social media ≤ insecurity of people who spend less than 2 hours a day on social media HA: Insecurity of people who spend 2+ hours a day on social media > insecurity of people who spend less than 2 hours a day on social media H0: memory of children ≤ memory of elderly HA: memory of children > memory of elderly H0: wealth of those who ranked high in Maslow’s hierarchy of needs ≤ wealth of those who ranked low in Maslow’s hierarchy of needs HA: wealth of those who ranked high in Maslow’s hierarchy of needs > wealth of those who ranked low in Maslow’s hierarchy of needs    

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