Demonstrate Steps to Complete the Week 7 Lab Step 1: Find these articles in the Chamberlain Library. Once you click each link, you will be logged into the Library and then click on "PDF Full Text". First Article: Confidence Intervals, Part 1  (Links to an external site.) Second Article: Confidence Intervals, Part 2  (Links to an external site.) Step 2: Consider the use of confidence intervals in health sciences with these articles as inspiration and insights. Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people that you work with plus the 10 heights provided by your instructor), discuss your method of collection for the values that you are using in your study (systematic, convenience, cluster, stratified, simple random). What are some faults with this type of data collection? What other types of data collection could you have used, and how might this have affected your study? Step 4: Now use the Week 6 Spreadsheet to help you with calculations for the following questions/statements. a) Give a point estimate (mean) for the average height of all people at the place where you work. Start by putting the 20 heights you are working with into the blue Data column of the spreadsheet. What is your point estimate, and what does this mean? b) Find a 95% confidence interval for the true mean height of all the people at your place of work. What      is the interval? [see screenshot below] c) Give a practical interpretation of the interval you found in part b, and explain carefully what the output       means. (For example, you might say, "I am 95% confident that the true mean height of all of the              people in my company is between 64 inches and 68 inches"). d) Post a screenshot of your work from the t value Confidence Interval for µ from the Confidence                  Interval tab on the Week 6 Excel spreadsheet Step 5: Now, change your confidence level to 99% for the same data, and post a screenshot of this table, as well. Step 6: Compare the margins of error from the two screenshots. Would the margin of error be larger or smaller for the 99% CI? Explain your reasoning.

For this assignment, collect data exhibiting a relatively linear trend, find the line of best fit, plot the data and the line, interpret the slope, and use the linear equation to make a prediction. Also, find r2 (coefficient of determination) and r (correlation coefficient). Discuss your findings. Your topic may be that is related to sports basketball preferable unless a discussion with me for a different idea. Attached are the documents on the project, tips on the project, and a project example