Compare the distribution of values in your outcome variable across the levels of your predictor variable.

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it based on the assignments that i send u, u should follow in order to do this assignment Data Analysis and Analyzing Relationships, so please make sure u READ ALL OF THE INFO AND DO EXACT SAME THING AS THE INFO AND QUESTIONS ASK U TO DO!! dont skip anything , dont skip any part of the questions, read the Data Analysis 3Analysing Re….pdf and also read the other assignments that i send u!! please read the info and the assignments that i send u becuase its based on this order that i send u and u should follow and u cant make something new it based on that,, dont skip anything most important that u should is the Data Analysis and Analyzing Relationships PDF the rest of the info that i send u to read and get idea follow for this assignment because its based on this assignment This follows up on your earlier work. Use the same variables you have been working with. If we stated you needed to make changes to your variables, do them and include a note about what you did. Upload your write-up and (PDF) output to Canvas. Bring a copy of your write-up to class. A) Research Topic and Hypotheses. Remind me of what your analysis is about. If appropriate, you can use text from earlier assignments. 1) In 1-2 sentences, restate your research topic. 2) List each bivariate research and null hypothesis. You should have 2-3 sets of hypotheses. (Include and make a note about any corrections you made from the previous assignment.) Complete parts B to E for your first hypothesis, then do them for the second hypothesis, etc. B) Distribution & Dispersion. Compare the distribution of values in your outcome variable across the levels of your predictor variable. 1) Report two crosstab tables, one with #s and one with %s. 2) Generate and include an appropriate graph for your variable pair. Remember to choose and format your graphs as noted in class and directions! 3) Explain the take-away from your tables and graph. C) Central Tendency. Compare the means of your outcome variable across the different values of your predictor variable. 1) Report the information in a table. 2) Report the information using the proper graph, based on levels of measurement. Include appropriate error bars. 3) Explain the take-away from your table and graph. Include discussion of descriptive information, and what you can conclude from the error bars. D) Thinking about inferential tests. For each hypothesis, name which of the inferential tests we have discussed is most appropriate, and why. E) Discussion. Describe what you learned about your hypothesis from the information in parts B and C. What relationship do you see between the two variables? Evaluate your effect sizes and other descriptive information. Examine your error bars: what are your inferential conclusions? Formally state your conclusions about your hypotheses. G) Conclusion. Thinking of all of the research decisions you have made and analyses you have completed this term, what you have learned about your topic?

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