Your Chapter 12 tests are available Thursday morning for pick up in room 313. I have posted an answer key outside room 313 for comparison.
What can you do to prepare for Thursday's test? Have you taken the online quiz? Select the link to the right>>>>>>
Have you used a study guide? You have now learned almost everything from the syllabus for the exam, so get to work!
Have you read the chapter in the text? Y, M, and M explained these concepts differently. If you didn't "get it" the way I explained it, you might like their version.
Did you google
lesson chi-square test or something like it? Sometimes you can find nifty applets that make the concepts clear.
See you on Thursday.
HW due Wednesday, April 2: Complete
5 problems from the chapter review (NOT 28 or 29) in preparation for Thursday's test.
HW due Tuesday, April 1: Read pages 717 through 724. Do problems 13.14 and 13.16.
HW due Monday, March 31: Problems 28 and 29 (which requires simulation). Leave yourself enough time to do problem 29 or go to CiCi's.
HW due Friday: Problems 13.9, 13.10, 13.12.
HW due Thursday: Write up your answer to the free response problem handed out in class AND work problems 13.1 and 13.3.
We will study three different types of test that use chi-square methods in this chapter:
goodness of fit: compares one sample distribution to an expected distribution to see if it matches the expected counts closely or not (for example, comparing a sample of M&Ms by color to the % the company says it produces).
test of independence: determines whether there is evidence that a relationship exists between at least two categorical characteristics within a population based on the counts of observations in one sample (for example, analyzing applications to law school to see if undergraduate major and admission rate have a relationship).
test of homogeneity: compares counts within the distributions of two or more comparable samples to see if there is a significant difference inthe mixes (for example, comparing color distribution of a sample of milk chocolate M&Ms to the distribution of a sample of peanut M&Ms to see if there is a difference).
Each of the methods uses the formula sum [(O-E)^2/E]. This is the formula that Dr. Chuck Tate had written on his "grill" in the
Statz 4 Life video.
Our plan is to do lots of labs and practice writing free response answers for the next few days. Our test is Thursday of next week.
For more information, scroll down to the Chapter 13 information from 2006 and 2007 on this blog.
Our probability lab is a week from Friday. We need parent volunteers to help with the activities. Please ask your parents to email me if they want to be part of this fun experience. They'll have a blast.
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