Describe Coronary Heart Disease.

For those without heart disease, the mean Systolic Blood pressure is 130 mm Hg, the mean serum cholesterol is 222 mg/dL, and the mean BMI is 25. Test whether the mean (of whichever variable of the three you would prefer) is greater for those who have coronary heart disease. You can do this by selecting “Group by: Has Coronary Heart Disease” when you conduct your hypothesis test in statcrunch and just looking at the results for those who do have coronary heart disease. For men, the mean Systolic Blood pressure is 132 mm Hg, the mean serum cholesterol is 226 mg/dL, and the mean BMI is 26. Test whether the mean (of whichever variable of the three you would prefer) is different for women. You can do this by selecting “Group by: Sex (1=male; 2=female)” when you conduct your hypothesis test in statcrunch and just looking at the results for those who are female (2).  Suppose it has been stated that 10% of (some group of people) have coronary heart disease. Test whether the population that our data represents has greater than 10% of the population with coronary heart disease. In this data set, about 40% of men have coronary heart disease. Test whether the proportion is lower for women. You can do this by selecting “Group by: Sex (1=male; 2=female)” when you conduct your hypothesis test in statcrunch and just looking at the results for those who are female (2).Write a report analyzing one of the given data sets available on Canvas. You will be graded on the following categories •18% Writing a neat & professionally presented report•14% Introduction•20% Descriptive Statistics & Graphs•16% Confidence Intervals•16% Hypothesis test•16% Linear Regression & ScatterplotSee the following pages of the project for the specific tasks required in each category. You are expected to complete all tasks listed and will be penalized for each task skipped.You are required to complete the project using StatCrunch. See the videos in the “End of Semester Project” module for directions on how to do this.Report does not need to be any particular length. (Typical length is 2 or 3 pages which includes graphs, and then two appendix pages showing the StatCrunch outputs)Do not copy from anyone else’s project, do your own work! Cheating will be penalized and reported.NOTES:•You must use a provided dataset•You must use StatCrunch •If you choose a data set with many variables (columns), you do not need to use every variable (column). Choose a few variables to analyze that interest you. You will at minimum need at least one qualitative variable and at least two quantitative variables (you need two quantitative variables to perform linear regression) to complete the project.•The descriptive statistics you choose to do and other parts of the project do not necessarily have to tie in directly with your stated objective in your introduction. Goal 1 (18%): Write a neat, professionally presented report that clearly and accurately explains your work and conclusions.•Write your report with full sentences and paragraphs. (This project is not just a list of things to do, writing a report and clearly describing conclusions in words is a significant part of the grade). Make sure you are communicating clearly and accurately.•The report doesn’t have to be a particular length.•Tables and/or graphs can be included throughout your report (recommended) or you can put them all at the end. Reference your graphs by title, or by giving them a name like “Fig. 1” . •Screenshots of your StatCrunch outputs should be in an appendix at the end of the report. With the exception of graphs, screenshots of StatCrunch outputs should NOT be part of the report itself. You should write your results into the report or create your own tables to display relevant results. •Check your spelling and grammar. Points will be deducted if your report has many errors. •Graphs should always have a title and labels on each axis.•Make sure you always specify units (when applicable).Goal 2 (14%): IntroductionWrite an introduction about where this data came from, how it was collected, and your goals for analyzing it. You get to make up a story for where the data came from and why you are analyzing it, and you can be as creative as you want. This is the only limitation: since several of the goals of this project will require performing inferential statistics on the data, the data *must* be a sample taken from a population that we want to know about. (If the data is not a sample of a larger population then inferential statistics will not make sense to do). (CLARIFICATION: The whole data set you are given is your sample. Do not try to take a smaller sample out of the given dataset, use the whole dataset.)Make sure you do the following things:□Clearly state the population of interest (from which this data is a sample)□Clearly state your goals for analyzing this data□Discuss the sampling method (how this sample data was collected)Your sampling method should result in a representative sample of the population. If there are concerns or limitations, discuss them.□State the sample sizeGoal 3 (20%): Descriptive Statistics •Calculate and state the proportion/percentage of the sample in each category for at least one qualitative variable. •Calculate descriptive statistics (mean, median, standard deviation, five number summary/quartiles) for at least one quantitative variable. •Create a pie chart or bar graph for at least one qualitative variable.•Create a histogram for at least one quantitative variable. •Create a boxplot for at least one quantitative variable.•Comment on the shape of a distribution based on the histogram or boxplot.•Make sure each graph is mentioned or discussed at some point in the report. “Fig. 1 shows…” “The results are displayed in Fig.2 …”.•Use the “Group By” feature in StatCrunch to compare descriptive statistics or graphs or boxplots for different categories. Discuss any trends (or lack of trends) in the results.NOTE: PLEASE TAKE SCREENSHOTS OF YOUR DESCRIPTIVE STATISTIC CALCULATIONS IN STATCRUNCH AND PLACE THEM AT THE END OF THE REPORT IN AN APPENDIX (not IN the report)Goal 4 (16%): Correlation & Line of Best Fit•Select two quantitative variables to study the correlation between, and state which variable you have chosen as your explanatory and which variable you have chosen as your response.•Graph the scatterplot with the line of best fit shown.•Calculate the correlation coefficient. Discuss the strength of the linear relation.•Calculate the coefficient of determination. What does the coefficient of determination tell us?•Calculate the equation of the line of best fit and state it in y = ______ x + ______ form.•Write a sentence to interpret the value of the slope.•Write a sentence to interpret the value of the y-intercept. (OR if it is not appropriate to interpret the y-intercept, explain clearly why)NOTE: PLEASE TAKE A SCREENSHOT OF THE LINEAR REGERSSION CALCULATION IN STATCRUNCH AND PLACE IT AT THE END OF THE REPORT IN AN APPENDIX (not IN the report)Goal 5 (16%): Constructing Confidence Intervals•Construct a 95% confidence interval to estimate a population mean. Write a sentence to clearly and accurately interpret what the interval tells us. •Construct a 95% confidence interval to estimate a population proportion. Write a sentence to clearly and accurately interpret what the interval tells us.If you aren’t sure how to introduce your confidence interval into the report, It’s recommended to introduce each confidence interval calculation with a sentence of the form “We constructed a confidence interval to (insert goal here).”NOTE: PLEASE TAKE A SCREENSHOT OF EACH CONFIDENCE INTERVAL CALCULATION IN STATCRUNCH AND PLACE THEM AT THE END OF THE REPORT IN AN APPENDIX (not IN the report)Goal 6 (16%): Performing Hypothesis Test•Choose a hypothesis test to perform (some suggested hypothesis tests are presented in another file in the Project module on Canvas.) Introduce your hypothesis test in your report with a statement like “We wanted to know/test whether (insert claim here)”•Use 0.05 level of significance. State in your report that you are using this level of significance. •Write your hypotheses with proper mathematical notation •Calculate and state the P-value•Make the correct decision based on your p-value and state your reasoning (like “We will reject the null hypothesis because…”)•Write your conclusion to your hypothesis test, being sure to address the claim. Make sure your conclusion is clearly and accurately answering the question you were trying to answer.NOTE: PLEASE TAKE A SCREENSHOT OF THE HYPOTHESIS TEST CALCULATION IN STATCRUNCH AND PLACE IT AT THE END OF THE REPORT IN AN APPENDIX (not IN the report)