A study wants to examine the relationship between student anxiety for an exam and the number of hours studied. The data is as follows:Student Anxiety ScoresStudy Hours 51106521181254134266512Why is a correlation the most appropriate statistic?What is the null and alternate hypothesis?What is the correlation between student anxiety scores and number of study hours? Select alpha and interpret your findings. Make sure to note whether it is significant or not and what the effect size is.How would you interpret this?What is the probability of a type I error? What does this mean?How would you use this same information but set it up in a way that allows you to conduct a t-test? An ANOVA? Assignment 1 Grading Criteria Maximum Points Explain why a correlation is the most appropriate statistic.36List the null and alternate hypothesis.20Compute and correctly present the correlation between student anxiety scores and number of study hours.36List the alpha, statistical significance of the results and the effect size. Provide an interpretation of the results.60List the probability of a type I error and explain what it means.36Explain how the same information would be set up to allow one to conduct a t-test and an ANOVA.48Writing Components:
Organization: Introduction, Thesis, Transitions, Conclusion
Usage and Mechanics: Grammar, Spelling, Sentence structure
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APA Elements: Attribution, Paraphrasing, Quotations
Style: Audience, Word Choice64