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Statistics Question

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Part One: Conduct an independent samples t-test (a.k.a., between-subjects design, which is discussed in Ch. 10, and will be covered in Week 9 of this course) comparing two independent groups on any variable of your choice. Each sample should have at least n=10 individuals (thus, 20 participants in the study total, at minimum) What to turn in: Part Two: Describe a potential example of an "independent samples t-tests" (see Ch. 10) that could be conducted within the social sciences, and list what you believe the outcome of the research would be for this study. No data or calculations are necessary whatsoever, but you should describe why you developed your chosen hypothesis (e.g., based on your own understanding of current research, real world observations, a wild guess, etc.). To receive full credit, this first section must be at least 100 words. Once you submit this post, you will then have access to everyone else's posts, at which point you must then respond to at least one other student by adding to their discussion, asking them a question, or reacting to their post in a meaningful way. For instance, maybe you disagree with their hypotheses and you'd like to offer an alternative perspective. State your research question (e.g., Is there a difference in coffee consumption between males and females?). State the null and alternative hypotheses, and then conduct the hypothesis test using an alpha level of .05. Calculate and interpret a measure of effect size (estimated Cohen's d or r2). Calculate a 95% confidence interval. Write a conclusion statement, as would appear in a published research report. Critical analysis (up to 10 points of extra credit): Write a short paragraph (2-3 sentences) explaining why your research question is important and where your findings could be applied. This is very open ended. For example, if one were studying coffee consumption differences between males and females, they could discuss the importance of this information for Starbucks marketing purposes. State your research question (e.g., Is there a difference in coffee consumption between males and females?).
State the null and alternative hypotheses, and then conduct the hypothesis test using an alpha level of .05.
Calculate and interpret a measure of effect size (estimated Cohen's d or r2).
Calculate a 95% confidence interval.
Write a conclusion statement, as would appear in a published research report.
Critical analysis (up to 10 points of extra credit): Write a short paragraph (2-3 sentences) explaining why your research question is important and where your findings could be applied. This is very open ended. For example, if one were studying coffee consumption differences between males and females, they could discuss the importance of this information for Starbucks marketing purposes.

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Sweetstudy.co (December 5, 2022) Statistics Question. Retrieved from https://sweetstudy.co/statistics-question/.
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"Statistics Question." Sweetstudy.co - Accessed December 5, 2022. https://sweetstudy.co/statistics-question/
"Statistics Question." Sweetstudy.co [Online]. Available: https://sweetstudy.co/statistics-question/. [Accessed: December 5, 2022]

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