STAT3001 Week 5 Project Complete Solution
Week 5 Project - STAT 3001
Student Name: <Type your name here>
Date: <Enter the date on which you began working on this assignment.>
This assignment is worth a total of 60 points.
Part I. Chi-Square Goodness of Fit Test (equal frequencies)
Four different brands of a pain medication used for chronic back ailments were tested to see if the number of side effects for each brand were the same. The table below lists the results of the reported number of side effects for each brand of pain medication.
Brand A |
Brand B |
Brand C |
Brand D |
23 |
17 |
33 |
11 |
[Hint: Be sure to watch the video at Week 5 Resources on the “Chi-Square Goodness-of-Fit test (equal frequencies)” before attempting this problem. Instructions for performing this test in STATDISK can be found in the Statdisk User Manual.]
Instructions |
Answers |
Paste results here. |
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Part II. Chi-Square Goodness of Fit Test (unequal frequencies)
An opinion poll was taken to see how people felt about Health Care reform. Previous poll results indicate that within a particular population 34% were for reform, 41% were against reform, and 25% were uncertain.
This year, the following results were observed:
FOR: 317 people AGAINST: 223 people UNCERTAIN: 211 people
[Hint: Be sure to watch the video at Week 5 Resources on the “Chi-Square Goodness-of-Fit test (unequal frequencies)” before attempting this problem. Instructions for performing this test in STATDISK can be found in the Statdisk User Manual.]
Instructions |
Answers |
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[Hint: You will need to compute the expected frequencies based on the previous poll results. Round to the nearest integer.] |
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OBSERVED |
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EXPECTED |
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Paste results here. |
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Part III. Chi-Square Test of Independence
A study was done to test the claim that discharging a newborn infant discharged early (less than 30 hours after birth) is related to re-hospitalization of that infant within a week of discharge.
The following data was collected related to early discharge and re-hospitalization:
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Re-hospitalized within 1 week |
Not |
Total |
Early Discharge (less than 30 hours) |
622 |
3997 |
4619 |
Late Discharge (30 – 78 hours) |
631 |
4660 |
5291 |
Hint: Instructions for performing this test in STATDISK can be found in the Stat Disk User’s Manual under the heading Chi Square Test of Independence (Contingency Tables).
Instructions |
Answers |
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Part IV. Apply this to your own situation
Using one of the above statistical tests, compose and SOLVE an actual problem from the context of your own personal or professional life. You will need to make up some data and describe which test you will use to analyze the situation. Here’s an example:
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Example |
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State the problem that you are analyzing. |
Last year, I asked the kids in my neighborhood what kind of cookies they preferred. 50% said chocolate-chip, 20% said oatmeal-raisin, and 30% said sugar cookie. I want to see if this has changed. |
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Make up some data for the new situation. |
I asked 50 neighborhood kids what kind of cookie they preferred now and here’s what they said:
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Determine which type of Chi-Square test you will perform. |
Since these are unequal frequencies, I will perform a Chi-Square Goodness-of-Fit Test (Unequal Frequencies). |
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;;;;;;i8i8Specify your null and alternative hypotheses. |
H0: There is no difference this year in the preferences of cookies within the neighborhood kids. H1: Things have changed. |
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Setup the test |
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Chocolate-Chip |
Oatmeal-Raisin |
Sugar-Cookie |
OBSERVED |
35 |
5 |
10 |
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EXPECTED |
25 |
10 |
15 |
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Perform the test |
Paste your STATDISK results here |
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State your conclusion |
We have evidence to believe …. |
Submit your final draft to the Assignment 2 Turnitin – Week 5 area of your course. Please use the naming convention "WK5Assgn2+first initial+last name" as the Submission Title.
STAT3001 Week 5 Project Complete Solution
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