Stat 2000: Assignment 11 Tips (Distance/Online Sections)
Published: Thu, 03/28/13
My tips for Assignment 11 are coming below, but first a couple of announcements.
Please note that my final exam seminar for
Stat 2000 is now scheduled and I am taking registrations. I have split the seminar into two days since we will have to cover Lesson 6 in
Volume 1 as well as all of Volume 2. The seminar is from 9:00 am
to 6:00 pm each day in room 100 St. Paul's College. Each day will cost $40 or, if you attend Day One,
you can attend Day Two for half-price (you will pay a total of $60, in
other words).
Day One is Easter Sunday, March 31 and Day Two 2
weeks later on Sunday, April 14.
Did you read my Tips on How to Do Well in this Course?
Make sure you do: Tips on How to Do Well in Stat 2000
Did you read my Tips on what kind of calculator you should get?
Did you miss my Tips for Assignment 10?
Tips for Assignment 11 (Distance/Online Sections D01, D02, D03, etc.)
Don't have my book? You can download a free sample containing Lesson 3 at my website here:
Study Lesson 8: Ch-Square Tests in my book, if you have it, to prepare for this assignment. You do not need to study the Chi-Square Goodness-of-Fit Test yet (it will be covered in Assignment 12).
In question 1, the joint distribution is simply the joint proportions found by
dividing the appropriate cell count by the Grand Total, and the marginal
distribution is the marginal proportions found by dividing the
appropriate row or column total by the Grand Total. I discuss this in more
detail at the start of Lesson 8 in newer editions of my book.
Question 2 is playing with
the concepts I discuss in question 4 of Lesson 8.
In question 3, the hypotheses are a matter
of deciding are they doing a test for independence or a test forhomogeneity, as I discuss in newer editions of my book.
Question 4. To enter this
data in JMP. Click New Data Table. You will need a total of three columns.
Double-click Column 1 and name it "Music" and change the Data Type to
"Character" and the Modeling Type to "Nominal". Double click the space to the
right of the Music column to create a new column. Name that column "Movies" and
change the Data Type to "Character" and the Modeling Type to "Nominal". Double
click the space to the right of the Movies column to create a new column. Name
that column "Count" and keep the Data Type as "Numeric" but change the Modeling
Type to "Nominal".
Each row in the JMP data table is used to
enter the information for a particular cell of the two-way table. The first row
will represent the 1,1 cell; the second row will represent the 1,2 cell; etc.
For example, your 1,1 cell gives you the observed count for the young adults who
prefer Contemporary music and Action movies. In the JMP data table, in row 1
type "Contemporary" in the Music column, "Action" in the Movies column, and type
the given observed count in the "Count" column. Type the info for the 1,2 cell
into the second row of your JMP table. That is the observed count for the young
adults who prefer Contemporary music and Comedy movies, so you will type
"Contemporary" in the Music column, "Comedy" in the Movies column and the
observed count in the Count column. In the third row you will type Contemporary
in the Music column, Drama in the Movies column, and the observed count for the
1,3 cell in the Count column. Continue in this fashion all the way to the
sixteenth row where you will type "Rock" in the Music column, "Horror" in the
Movies column, and the observed count for the 4,4 cell in the Count
column.
You will notice that the first two columns
of the JMP table are used to specify which row and column of the two-way table
you are talking about, and the third column enters the observed count for that
particular cell.
Once you have entered in all the observed
counts, select Analyze, Fit Y By X. Select "Movies" and click "Y, Response",
select "Music" and click "X, Factor", and select "Count" and click "Freq".
Click "OK". Click the red triangle next to "Contingency Analysis of Music by
Movies" at the top and deselect "Mosaic Plot" to remove that from the output.
You now see a Contingency Table (or two-way table) and the "Tests" below it.
Click the red triangle next to Contingency Table and make sure that all that is
select is "Count", "Expected" and "Cell Chi Square" to display those values in
each cell of the table. Note the Pearson ChiSquare is the test statistic for
the problem (in the last row of the "Tests" output) and the Prob>ChiSq is the
P-value for that test.
When they ask what two
cells contribute most to the test statistic, they are asking which two cells
have the largest chi-square values.