Monthly Schedule

(STAtistics, Period D)

M 3/2/15
A

HW due (both blocks):

1. Read pp. 619-626. Reading notes are required, as always.

2. Write #11.46 on pp. 626-627. Full PHA(S)TPC procedures are required (S optional).

3. For problems #11.61-11.90 on pp. 634-641, do not solve the problems. Instead, write for each problem a statement of what type of test procedure is appropriate. Usage of a tabular presentation and/or ditto marks is permitted in order to reduce busywork. (For example, a table with columns labeled by test procedure and cells that contain either a checkmark or no checkmark would be completely adequate.) To get you started, the first set of answers is provided below:

#11.61(a) 2-sample t test
           (b) ditto
           (c) ditto

4. What is the purpose of the table you made in the previous exercise? Write a sentence or two.

 

T 3/3/15
B

Block 3 HW due: Read the BASP editorial banning P-values and confidence intervals, as well as the American Statistical Association’s preliminary response. Optional reading: “Why Most Published Research Findings Are False.”

In class: Review for test.

Block 4: No class.

 

W 3/4/15
C

Block 3: No class.

Block 4: Review for test. If you have not already read the articles whose links are provided in yesterday’s calendar entry for the other section, you are expected to do so. The third article is optional.

 

 

Original Test Announcement:

Test (100 pts.) on all recent material.
Some older material, dating back to the beginning of the year, will also be included. However, the only older material that will be included on this test will be AP-type content. Therefore, you can use your Barron’s review book (any questions except for  and LSRL t-test) in order to prepare for the test.

Among the older terms that you definitely need to know are the following: Type I and Type II errors, standard error, confidence interval, confidence level, test statistic, P-value.

As always, you will be provided with a standard AP formula sheet during the test. As you probably know, there is virtually no benefit in memorizing formulas. What you need to know—cold—is what the formulas mean and when to use them.

Assumptions, however, do need to be memorized:

1-sample t: SRS, normal population
2-sample t: two independent SRS’s, two normal populations
Paired t test: SRS, normal population of differences
1-proportion z: SRS, N  10n, np  10, nq  10
2-proportion z: 2 independent SRS’s, N1  10n1, N2  10n2, n1p1  10, n1q1  10, n2p2  10, n2q2  10

Note: The assumption of normality in the t tests can be relaxed if (1) we can rule out extreme skewness or outliers, and (2) the sample is “large” (rule of thumb: n  about 30). In the 2-sample t test, we can count both sample sizes toward meeting the rule of thumb.

Rules for df:

1-sample t: df = n – 1
2-sample t: df = (horrible mess; use calculator)
Paired t test: df = number of differences – 1

 

Th 3/5/15
D

Snow day for both blocks.

Test Instructions: Your “do-at-home” mini-project is here. Deadline is 3:00 p.m. Friday. (If school is canceled Friday, the deadline will be extended until 3:00 p.m. on Monday.) The rest of the points on the test will come from a 20-minute in-class quiz on Tuesday.

 

F 3/6/15
E

Another snow day.

This is a genuine snow day: a day off with nothing to do. We all know how depressing that can be. If, instead of vegetating all day, you would like to spend 65 minutes working on AP review problems, it will be worth your while. (It’s a fair trade; you would have been in class for 65 minutes today anyway if the white stuff hadn’t fallen from the sky.) Simply keep a written log of all your problems, in the place where you keep all your AP review work. Keep a date and time log, and show your work in class on Tuesday for a few bonus points.

 

M 3/9/15
F

No class. However, your “do-at-home” mini-project is due by 3:00 p.m., which is an extension from the original Friday due date. Submit your papers in person in MH-102.

 

T 3/10/15
G

In-Class Quiz (both blocks), approximately 50 points. This will consist of the remaining points from last week’s test.

 

W 3/11/15
A

HW due (both blocks): Read pp. 629-632, 647-656. If you did not give an oral presentation yesterday, be prepared to do that also.

 

Th 3/12/15
B

HW due (Block 3):

1. Read pp. 660-671, 677-680, and the summary of key concepts and formulas on p. 681.

2. Perform Activity 12.1, working alone. If you did not start this activity before leaving school on Wednesday, you may ask 5 people 5 digits each, since it would be difficult for you to find 25 people. Surely you can find 5 people, even if you have a small household. Use the Internet if necessary. In #5 (carrying out the hypothesis test), be sure to show all your work. You may adapt the following table for your purposes. (Your raw data and category/bin counts will be different, of course.) Test at the  = 0.05 level.



3. Think about: An interesting question was posed in Block 3 on Wednesday, 3/11. The t* value for a 99% confidence interval is much larger than the t* value for a 98% confidence level. How can this be? (For df = 1, the difference is a whopping factor of 2. However, even for df = 10, the difference is still large, with the 99% value being almost 15% larger than the 98% value. The difference between t* values for 99% vs. 98% is always more than 10%, regardless of the df.) Since m.o.e. is the product of t* and s.e., and since the confidence level (percentage) does not affect s.e., we can conclude that m.o.e. is directly proportional to t* when the only thing changing is the confidence level. But how can this be? How can such a small change in confidence level (namely, a change from 98% to 99%) make such a large change in the width of the confidence interval?

Your answer to #3 will not be collected, but you may be randomly called upon.

Block 4: No class.

 

F 3/13/15
C

Last day of Q3.

Block 3: No class.

Block 4 HW due: See yesterday’s calendar entry for Block 3.

 

 

Spring break.

 

M 3/30/15
D

Classes resume. Quiz or Graded Discussion on your spring-break reading book is possible today or later in the week. Most of you read How to Lie with Statistics, which is a quick read (and very timely, despite its seemingly dated illustrations and dollar values). Some of you read other books, and those will require an alternative form of assessment.

 

T 3/31/15
E

HW due (both classes): Pretend that you were given 11 SRS’s of M&M’s from different parts of the country and that you were asked to see if there was enough evidence to reject this null hypothesis:

H0: The true (unknown) proportions of colors for the 11 populations from which these samples were drawn follow the same pattern. [In other words, the true color proportions are homogeneous across the 11 populations.]

Ha: The true proportions of colors are not homogeneous across the 11 populations.

Here are the data you are given to work with:



Perform the test, showing at least part of the computation of the  test statistic. (Don’t show all the work; that would be cruel! Let your calculator’s 2-way  procedure do most of the work. Remember that the expected count for each cell is given by the formula rowtot · coltot/grandtot.)

Execute all the PHA(S)TPC steps, and explain why df = 50 in this problem. Be sure to check assumptions; you need 11 independent SRS’s and all expected counts equal to 5 or more.

 

 

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Last updated: 18 Apr 2015