Description
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.
Unformatted Attachment Preview
Purchase answer to see full attachment

Explanation & Answer

View attached explanation and answer. Let me know if you have any questions.
RUNNING HEAD: STATISTICAL REASONING
Statistical Reasoning Week 7 Lab
Name:
Institution Affiliation:
Date:
1
STATISTICAL REASONING
2
Step 3: Using the data you collected for the Week 5 Lab (heights of 10 different people
that you work with plus the ten 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?
The simple random sampling method was used to select participants who were
included in the study. The method ensures that each participant had an equal chance of being
selected, thus helping to eliminate sampling bias (Hayslett &Murphy, 2014). The only fault
of the method was that it was time-consuming. There are several other methods of collecting
data that I could have used. The first one is systematic sampling, whereby every individual
would have been assigned a number before randomly selecting numbers from the list of
participants. However, this method would have increased the risk of data manipulation to
achieve desired results. The second method is convenience sampling, in which pa...
