Monthly Schedule

(STAtistics, Period D)

W 9/5/012

First day of class.

 

Th 9/6/012

HW due:

1. Start reading your textbook. We will eventually cover essentially the entire book through p. 747, so you might as well start reading it now! That works out to an average of 5 pages per school day, which is manageable, but only if you keep up. In class today, we will discuss exactly what the expectations for reading and note-taking are.

2. Send Mr. Hansen an e-mail message. Remember to put a double underscore ( __ ) at the start of your subject line.

 

F 9/7/012

HW due:

1. Numerous people must have sent messages without a double underscore ( __ ) in the subject line, because I did not receive 13. Please check your “Sent Mail” folder, and re-send if necessary with the proper subject line.

2. Grade each of the following entries from yesterday’s quiz on a scale of 0 to 2 points, where 0 = completely or almost completely incorrect, 1 = almost correct, 2 = fully correct. The question, as you recall, was to give an example of a statistic. Be prepared to defend the score that you assign.

(a) Number of flights I took with Lufthansa in 2011.
(b) Percentage of the STA Upper School student body present at Upper School lunch on 9/5/012.
(c) Field goal % of the Washington Wizards’ 2011 NBA season. [Presumably he meant 2011-12.]
(d) Number of students in Sam’s Bar from the time period 9:00 AM – 9:10 AM on a Tuesday.
(e) The amount of money the STA bookstore made each day in the 2011-12 school year.
(f) The final grades of all the students that took calculus in the 2011-12 school year at STA.

(g) The third quarter grades of all the students that took calculus in the 2011-12 school year at STA.
(h) The word count for the book War and Peace.
(i) The kill to death ratio for [name] in one game of Call of Duty.
(j) The average free-throw percentage of [name] over a certain 5-game span in 2011.
(k) Number of words in my Am Lit essay on Huckleberry Finn from the first semester of the 2011-12 school year.
(l) Bryce Harper’s batting average through the first 100 games this season.
(m) The % of answers to this question which are in fact statistics.

3. For part (a) through part (m) in #2, write the correct symbol, an equal sign, and a reasonable guess at the value of the statistic. If you awarded a score of 0, skip and move on to the next one. If you awarded a score of 1, make your best guess at what statistic the student had in mind. The first one is done for you as an example. Note: We do not use the “approximately equal” sign () in our class, since probably half the numbers we look at are approximations anyway.

(a) n = 4

 

M 9/10/012

HW due:

1. Continue reading in your textbook. Your goal is a minimum of 25 pages per week, or 5 pages per school night. Try to read ahead, especially during the early part of the year, since the material is not too hard yet.

2. Gather a set of at least 20 numeric data points, and enter them into list L1 on your calculator. Keep a written record of the entries. (Use a standard HW sheet as described here.) Then produce

(a) a stemplot (as demonstrated in class last Friday),
(b) the sample mean, written as an equation with correct notation for the symbol,
(c) the sample s.d., written as an equation with correct notation for the symbol,
(d) the 5-number summary.

For parts (b), (c), and (d), you are encouraged to use the 1-Var Stats feature of your calculator (STAT CALC 1), which was demonstrated in class last Friday.

As to the matter of where you should gather data, the answer is . . . be creative! You could measure your own height 20 times to the nearest millimeter, and the answers will vary slightly. Or, you could ask 20 friends for the number of TVs they have in their house. Or, you could ask 20 NCS girls to measure their right pinky fingers. If you are lazy, you could even flip a coin 20 times and let your data be a stream of values where 0 = head, 1 = tail.

On Monday, we will look at your data and will try to guess where the data came from. A couple of bonus points will be awarded to the most interesting data set, as judged by Mr. Hansen.

 

T 9/11/012

HW due: No additional written work is due today. However, continue reading in the textbook, as always.

 

W 9/12/012

HW due: Write Activity 1.3 on p. 24, #1.27 on p. 25. Continue reading as always.

 

Th 9/13/012

HW due: No additional written work is due today. However, continue reading in the textbook, as always.

 

F 9/14/012

HW due: Write #1.20, 1.23, 2.1, 2.8. This assignment will be collected Monday, since there is no class today (Form VI retreat).

 

M 9/17/012

HW due: Write #2.12, 2.14, 2.20, 2.24. Be sure you know all the boldface terms on pp. 33-39.

 

T 9/18/012

HW due: Read this current article and this older article from The Washington Post, and be prepared to discuss both articles in the context of recent textbook pages. Older HW assignments may also be re-checked, so you should use this as an opportunity to get caught up.

 

W 9/19/012

HW due: Write #2.32, 2.45, 2.50. Continue reading, as always.

 

Th 9/20/012

HW due: Write #2.58, 2.66, 2.68. Continue reading, as always.

 

F 9/21/012

No additional written HW due. Continue reading, as always, but please enjoy the weather and experience a feeling of awe.

 

M 9/24/012

HW due: Start working on the following review problems. All you have to show for today is evidence that you made a solid start. These problems are due in full on Tuesday. You may write directly on printouts of the old tests if you wish.

1. Work through this old practice test. Omit question 17, and for questions 18-20, provide only a sketch and an estimated answer.

2. Do these problems as well. Omit questions 25 and 26. The answer to #23 is “regression outlier,” which is something we have not discussed yet but which you should know for the test. A regression outlier is not determined by the 1.5 IQR rule; the 1.5 IQR rule is only for univariate data. Since we have bivariate data in this example, the rule for determining a regression outlier (as opposed to a regular outlier) is that a regression outlier is something that appears, in your judgment, to be “far above or far below the regression line.”

3. According to the Washington Post article about musicians and their ability to process auditory information, the amount of practice was ________________ associated (hint: provide an adverb ending in -ly) with the amount of deterioration of hearing ability that normally occurs with aging. Was the study an experiment? If not, what was it? How do you know?

 

T 9/25/012

HW due: Finish your review problems.

If you promise not to peek until after you have done the work, you can look at the answer key to the Judge Jeremy problems (section #2 in yesterday’s calendar entry). Note: If you look at the answer key before challenging yourself and committing yourself to answers you believe are correct, you are not getting the full benefit. You might as well use the index to find a worked example in the textbook and simply read through it. If that actually worked, you wouldn’t need to take a statistics course; you could simply read a hundred or so carefully chosen examples, which might take you a week or two, and then you’d be finished with introductory statistics.

In class: review.

 

W 9/26/012

Test (100 pts.) on everything covered so far.

All textbook reading in Chapters 1 and 2, including examples, is fair game for the test.
The basic content of the two assigned Washington Post readings is also fair game. Note that some topics from Chapters 3 and 4 are also represented in the review problems above, but these should not give you as much trouble, since we have discussed those topics in class.

The test will be closed notes, with graphing calculator required. If you forget your calculator, or if your batteries die during the test, there will be a significant point penalty. Pencil is strongly encouraged, but pen (blue or black ink) will also be accepted.

 

Th 9/27/012

HW due: Continue reading in the textbook. No additional written work is due.

 

F 9/28/012

HW due: Read this week’s Quick Study and be prepared to discuss it. Continue your daily textbook reading, as always.

 

 


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Last updated: 07 Feb 2013