2284

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Select three bills of interest to you. Track the progress of one on the Internet and Do a brief legislative analysis of one of the bills. Document results in journal form. Include contact with your representative in the Illinois General Assembly. 

3.Discuss analysis of bill in class

4. Legislative analysis:

• written clearly, succinctly, using correct grammar, punctuation, sentence structure 

•organized

•includes a summary of the highlights of the bill.

•includes your thoughtful and critical analysis on the content of the bill

 

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Young men in north america and europe (but not in asia) tend to think

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Young men in North America and Europe (but not in Asia) tend to think they need more muscle to be attractive. One study presented 200 young American men with 100 images of men with various levels of muscle. Researchers measure level of muscle in kilograms per square meter (kg/m2) of fat-free body mass. Typical young men have about 20 kg/m2. Each subject chose two images, one that represented his own level of body muscle and one that he thought represented “what women prefer.” The mean gap between self-image and “what women prefer” was 2.35 kg/m2. Suppose that the “muscle gap” in the population of all young men has a Normal distribution with standard deviation 2.5 kg/m2. 

 

What is the approximate P-value?

 

Make a conclusion regarding the hypotheses and put it in context of the question.

 

 

2099

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 What focuses on important roles of mental processes in how people process and remember information? 
 What are the steps of the scientific method?
 
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Survival Curve dataset in the Framingham Heart Study dataset

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Using the Survival Curve dataset tab located in the  Framingham Heart Study dataset,  Click for more options

perform a Cox Proportional Hazards Regression Analysis to determine the survival time (risk of dying) for the Survival Curve data where the patients are divided into treatment groups. Upload the Excel spreadsheet into R Studio or perform the Cox Proportional Hazards Regression Analysis in Excel.
H0 The risk of dying is not related to the patient treatment group. (Null Hypothesis)
H1 The risk of dying is related to the patient treatment group. (Alternative Hypothesis)

Present your findings as a Survival Time chart in a Word document, with a title page, introduction explaining why you would conduct a survival analysis, a discussion where you interpret the meaning of the survival analysis, and a conclusion should be included. Your submission should be 2-3 pages to discuss and display your findings.

Provide support for your statements with in-text citations from a minimum of two scholarly, peer-reviewed articles.
Follow APA writing standards.

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