Monthly Schedule

(AP Statistics, Period D)

M 1/1/07

New Year’s Day (no school).

 

T 1/2/07

Cathedral funeral for former President Gerald R. Ford (no school).

 

W 1/3/07

Supplemental Formulas: Remember that several useful formulas are missing from the AP formula sheet. Here are some that come immediately to mind:

  • z = (xm)/s
  • General Intersection Rule, always true: P(A Ç B) = P(A) · P(B | A)
  • Modified form of General Union Rule: P(A Ç B) = P(A) + P(B) – P(A È B)
  • residual = yyhat
  • Empirical Rule: 68% of normal data are in interval m ± s,
    95% in
    m ± 2s, 99.7% in m ± 3s

 

HW due (strongly suggested): Review for your midterm exam, including reviewing not only the AP formula sheets published in the Barron’s review book, but also the supplemental formulas shown above. After you have spent several hours reviewing, preferably spread over a period of several days, please attempt the following questions, which together would make a fairly good sample midterm exam:

·  LRSL questions
·  Experimental design questions, plus more on LSRL/curve fitting
·  Conditional probability questions
·  Additional sample midterm practice questions.

We will spend some time in class discussing some of the answers to these sets of questions. A comprehensive answer key for the second set is available, but please do not peek at the answers until you have tested yourself under pressure. (You will not learn very much simply by peeking at the answers. You really need to study first, then test yourself, then check answers.)

Warning: Every year there are some students who think they can take a shortcut by skipping the review and immediately taking the practice midterm exam. This is not a good idea, because the practice exam is not comprehensive. (Think about it. There is no way to cram a comprehensive exam into an hour and a half or two hours. We have covered a huge amount of material since September.) Therefore, if you take the practice exam and then go back to “plug the gaps,” so to speak, you will not have made a comprehensive review of the material that is fair game for the real exam. Plus, since you would have already taken the practice exam, you would no longer have a valid way to gauge how well prepared you are.

The bottom line is this: Study first, and then take the practice midterm exam as a way of testing yourself. What do you do if you need more practice questions? Simply pick questions randomly from the Barron’s review book.

 

Th 1/4/07

HW due: Review all 4 links from yesterday’s calendar entry, especially the fourth one (write out all answers to the practice questions). The more preparation you do now, the better your midterm exam will work out for you.

 

F 1/5/07

HW due: Continue midterm preparation as described in the 1/3 and 1/4 calendar entries. The review problems will be spot-checked or graded a second time.

Assembly period: You are encouraged to come to Room R between 9:15 a.m. and 9:30 a.m. to ask any questions you may have regarding the midterm exam. Please do not ask about the format, which will be drawn primarily from sample questions of the type found in the Barron’s review book. A formula sheet like the one in the Barron’s book will be provided, but of course there are also several useful formulas (see 1/3 calendar entry) that are not provided. You may use your calculator throughout the exam, and anything stored on your calculator is permitted.

 

T 1/9/07

Midterm Exam, Room R, 8–10 a.m. The originally published schedule said “New Dorm Room,” but that was before we realized that we would not yet be moving out of Room R.

 

W 1/10/07

Conflict Exam for Kellie and Marcus, Room R, 11 a.m. –1 p.m.

 

W 1/17/07

Classes resume.

 

Th 1/18/07

HW due: Write #7.8, #7.15; read pp. 385-394, including the examples but omitting the exercises (8 pages altogether); write #7.22.

 

F 1/19/07

HW due: Read pp. 395-406, again including the examples but omitting the exercises; then write the following exercise taken from class.

Let X = payoff to you when playing the unfair die-rolling game given in class. (You win $1 if a 1 is rolled, you win $2 if a 2 is rolled, but you lose $3 if a 3 or 4 is rolled. No money changes hands if a 5 or 6 is rolled.)

1. Compute
mX, showing your work. This should already be in your notes.

2. What alternate name and notation are used for
mX?

3. We found in class that the errors (deviations from the mean) were 1.50, 2.50, –2.50, and .50. Explain how we found each of these values.

4. Compute the mean squared error. When we say “mean,” we mean a weighted average computed by using the probabilities as weights. In other words, weight the 1.502 by 1/6, the 2.502 by 1/6, and so on.

5. What is the more customary name that we use for MSE?

6. Use both of the notations given in class to state your answer to #4.

 

M 1/22/07

HW due: Read pp. 415-423; write #7.34, 7.35, 7.43, 7.44, and the following problems:

Let X be the height of a randomly selected STA Upper Schooler. Suppose that X follows the N(71, 3) distribution. Let Y be the height of a randomly selected NCS Upper Schooler, and suppose that Y follows the N(67, 2.5) distribution.

1. What does Z = XY represent?

2. Compute
mZ and sZ, showing your work and using correct notation. You will find Friday’s class discussion invaluable here.

3. What would it mean (in words) to say that Z > 0? Be sure to use the context of STA and NCS in your answer.

4. What distribution does Z follow?

5. Compute (a) P(Z > 0) and (b) P(Z
£ –1).

6. Write, in English, what each of your answers to #5 represents. Be sure to use the context of STA and NCS in your answers.

 

T 1/23/07

HW due: Read pp. 424-433; write #8.20, 8.22. Hint: Use #8.19 and 8.21 as guides. Of course, you need to show more work than is shown in the answer key.

For example, answer key may say
sX  = 1.386 without any real explanation. For full credit, you must write formula, plug-ins, and answer with units. Example for #8.22(c):

Let X = # of 12 truthful persons who will be classified as deceptive, p = 0.2, q = 0.8, n = 12.
mX  = np = 12(0.2) = 2.4 people (i.e., we expect between 2 and 3 people to be doubted);
sX  =  people.

 

W 1/24/07

HW due: Read pp. 434-444 plus the chapter review on pp. 446-447; write #8.39, 8.44abc. If your eyes glaze over when you read all the algebra on p. 442, you have my permission to skip it. However, you may wish to take a stab at the following 1-point bonus question:

1. Give a proof of the statement in the box at the bottom of p. 442 that uses no algebra.

 

Th 1/25/07

HW due: Read pp. 456-463 twice; write #8.37, 8.41 (part h is optional).

The definition on p. 459 is the most subtle and important definition of the entire second semester. See if you can rephrase it in your own words.

 

F 1/26/07

HW due: Read pp. 463-469; write #9.11.

Note: Keystrokes to start creating the program are shown below.

PRGM New 1 SHOPPER Enter

You should now have a colon (“:”) prompt. Enter the program exactly as shown, and press 2nd QUIT when finished. Execute the program with PRGM EXEC.

If you have trouble locating some of the commands, such as ClrHome or cumSum or Disp, please remember that 2nd CATALOG lists all possible commands in alphabetical order. Since ALPHA LOCK is enabled when you enter 2nd CATALOG, you need only press the letter of the desired command (e.g., C for ClrHome) in order to skip forward to the commands that start with that letter.

 

M 1/29/07

HW due:

1. On last year’s test, work all of Part I (including the example), plus questions #7-16.
2. Answer questions #9.9 and 9.10 on pp. 468-469.

 

T 1/30/07

Test on Chapters 7 and 8, plus the following topics:

 

  • Nominal, ordinal, interval (arithmetic), and ratio scales
  • Definition of sampling distribution
  • Definition of bias
  • Definition of sampling error (sampling variability)
  • Rough conception of how sampling variability decreases as the size of the SRS grows (but note: population size generally does not matter)
  • Finally, as we discussed in class, you cannot forget your probability knowledge, since some of the questions may require you to calculate probabilities other than binomial or geometric probabilities.

 

W 1/31/07

HW due: Write up all of yesterday’s test, regardless of whether or not you took it, and regardless of whether or not you think you already answered certain portions correctly. You may write directly on the test paper.

Note: This time, you must show work on problems 9, 10, and 11. You may compare answers with classmates, and you may work together to discuss solution strategies. However, you may not copy. Your submission must be completely your own.

The results of the test, especially problem 6, were so dismal that I am contemplating throwing the entire test out and holding a re-test in which the maximum score is 80%. We will revisit this issue in class and decide what to do. I may be persuaded to back down from my position if the overnight re-do of the test is impressively done.

Here are the results for problem 6, which (remember) was a recycled homework question. Instead of STA and NCS, we had Glermans and Drench. Instead of height, we had weight. Surely this was not an unfair question.

# of students who suggested a Monte Carlo approach (partial credit): 2
# of students who knew enough to define a random variable Z = GD: 2
# of students with no clue whatsoever: 8

 

 


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Last updated: 03 Feb 2007