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# The mean age of children is years old the mean age of children out of them is

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he National Center for Health Statistics reports that the mean systolic blood pressure for males 35 to 44 years of age is 128 and the standard deviation in this population is 15. The medical director of a company looks at the medical records of 72 company executives in this age group and finds that the mean systolic blood pressure in this sample is X = 126.07. Is this evidence that executive blood pressures differ from the national average? Conduct a hypothesis test to answer this question using α = 0.05.
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identified a rise in contacting STIs (sexually transmitted infections) among young adults and are interested in understanding why. The researchers measured several variables related to condom use including: likelihood of using condoms in the future, previous use of condoms, perceived ability for self-control in sexual relationships, and perceived risk for contracting STIs. Method This study is looking to understand why there has been a rise in sexually transmitted infections. Participants were asked to answer 4 different questions and the results were analyzed. Participants: Participants include 100 men and women ages ranging from 18-38. The mean age in this experiment is 24 years old and there is an equal amount of men and women. Name of Independent Variable(s): Provide a description of all independent (or grouping) variables, including their levels. Each variable should be described separately and the name of each new variable should be indented and underlined. Name of Dependent Variable: Provide a description of the dependent variable, including how it was operationalized. Following the description of all your variables you should clearly state (in a sentence) the research question you intend to investigate. Next, you should say something along the lines of, “This research has the following hypotheses: Ha: State the alternate hypothesis in BOTH conceptual and statistical form. H0: State the null hypothesis in BOTH conceptual and statistical form Also I need to know what analysis to complete in spss
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there was no Age and/or Sex entered) has been created. It is called Newmarket_Cleaned.csv. Data file: Newmarket_Cleaned.csv (Links to an external site.) . Direct HTTP link: https://unh.box.com/shared/static/p8x4xlbean3rlslmfskfu74fe89yjui8.csv Please use it for this problem. Consider the “Model 4” developed in class, which contained Age, Age^2, and Sex as independent variables. First re-create this model with the cleaned dataset (you will need to create the Age^2 column; you can verify your model summary against the one from class), and then proceed with this problem. Make the necessary changes to the model to incorporate Year as a categorical explanatory variable (you may need to change how R interprets the variable, before running this model). Does the year of the race seem to be related to mean finishing time, after taking into account the other variables in Model 4? Use the 0.05 significance level. Explain your work/logic, and key output to support your answer. Using the updated model, after accounting for age and sex, what is the expected difference in finishing times for runners from 2008 versus runners from 2004? Using the updated model, after accounting for age and sex, what is the expected difference in finishing times for runners from 2014 versus 2011? In the above, the directions are to treat Year as a categorical variable. Explain how the regression model would be different if it instead were treated as a numeric variable. What are the assumptions being made about the effect of Year in the two different approaches?
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1.AU MAT 120 Systems of Linear Equations and Inequalities Discussion

mathematicsalgebra Physics