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Title: Writing Intensive Statistics Course


1
Writing Intensive Statistics Course
  • Dr. Renan Sezer
  • LaGuardia Community College

2
Why Write?
  • Write to learn
  • Improve communication skills
  • Develop analytical reading ability
  • Develop ability to interpret result
  • Frequent feedback

3
Writing Exercises
  • Low stake writing assignments
  • Lead Up or Follow Up
  • Staged high stake writing assignments

4
Outcomes
  • Better understanding of the concepts
  • Higher success rate on exams
  • Increased teacher-student interaction
  • Improved writing
  • Reduced fear of writing

5
What did the students say?
  • 77 - helpful in learning the subject better
  • 85 - helped better prepare for the exam
  • 69 - recommend such course for future students
  • 15 - not sure
  • 15 - not recommend

6
Writing Assignment I (Week 1)
  • A small company pays its president 200,000. The
    vice-president gets 150,000. The foreman earns
    30,000. There are three workers in the company,
    earning 25,000, 22,000, 22,000 respectively.
    The secretary earns 19,000.

7
  1. Find the mode, median, mean income in this
    company.
  2. The union representative wants to negotiate new
    wages. In this negotiation would he emphasize
    mode, median or mean? Explain why in a
    paragraph.
  3. Which of the three measures would the president
    of the company stress in the negotiations?
    Explain why in a paragraph.
  4. Which do you think best represents this sample?
    Explain why in a paragraph.
  5. Can you say that the measure you chose in 4 is
    always best to use? Explain why or why not in a
    paragraph.

8
A Mediocre One
  • 1)
  • Mode 22,000 (appears twice)
  • 19,000, 22,000, 22,000, 25,000, 30,000,
    150,000, 200,000
  • Mean 468,000 / 7 66,857
  • Median 19t, 22t, 22t, 25t, 30t, 150t, 200t
  • 2) I think that the union representative would
    want to base his petition on the mode salary.

9
  • By doing this, using the mode, he can argue
    that the three workers and the secretary are
    underpaid.
  • 3) ? (I have no idea) but as a president of a
    company I would be primarily concerned in the
    companys profits and not increasing my
    employees wages. I would stress the mean since
    it a higher number than the median or mode.
  • 4) Median is best choice. I think that the mean
    (66,857) wage is not a true representation of
    the individual wages since there are such large

10
  • discrepancies among them, but then neither is
    the mode or the median. There is no best
    representation.
  • 5) Since I feel that neither mean, mode or median
    are of any use to best represent this sample the
    best choice would depend on job descriptions and
    their respective hourly wages.
  • My answer probably makes no sense but neither
    does this problem since union and management are
    usually at odds when it comes

11
  • to coming to common ground when the problem is
    about employee demands and especially wages. The
    union wants better wages and working conditions
    while management is concerned about production
    and profit margin. I do not feel that this
    approach of using mean, mode and median will help
    to solve the problem.

12
A Bad One
  • 1) a) Mode is 22,000
  • b) Mean is 3319714.2
  • The sam of all wages divited by 7
  • 23238000 / 7 3319714.2
  • c) Median is 25000
  • 2) The union representative who wants to
    negotiate new wages has to emphazize

13
  • the median of that company. He has to compare
    it with the standarts given by the graph. By
    doing so, he can show that the median of the
    company is far less than the standarst.
  • 3) The president of the company would stress in
    the negotiations on the Mode because it is close
    to the standarts given in the graph.
  • 4) Median represents best this sample.

14
  • 5) The measure that I chosed in this sample is
    Median But, that doesnt mean that it is always
    the best to use because it is not going to be
    fair in other circumstances. Some times is
    better to use Mean.

15
Writing Assignment II (Week 2)
  • Describe in your own words what mean and standard
    deviation indicate. Give examples. (Note You
    are not asked to describe how mean and standard
    deviation are calculated.)

16
Writing Assignment III (Week 3)
  • Drug X has standard deviation of 3 days recovery
    time. Drug Y has standard deviation of 7 days
    recovery time. Based solely on this information
    which of the following statements is true?
  • a) Drug X is a better drug than drug Y.
  • b) Drug Y is a better drug than drug X.
  • c) Drug X and drug Y are equally good.
  • d) No decision can be made.
  • Given the standard deviation above, suppose drug
    X has mean recovery time of 30 days and drug Y
    has mean recovery time of 15 days. Explain which
    drug is better.

17
  • Given the standard deviation above, suppose drug
    X has mean recovery time of 8 days and drug Y has
    mean recovery time of 20 days. Explain which
    drug is better.
  • Looking back on your answers to previous
    questions, write a paragraph about reaching a
    decision based solely on standard deviation.

18
Writing Assignment IV (Week 4)
  • Explain in your own words what it means for two
    events to be independent. (You are not asked to
    give a formula.) Give an example.
  • Explain in your own words what it means for two
    events to be dependent. (You are not asked to
    give a formula.) Give an example.
  • Explain in your own words what it means for two
    events to be mutually exclusive. Be sure to use
    the concepts of dependence and independence,
    which you have used in part A, and B, in
    explaining mutually exclusive events. Give an
    example.

19
Writing Assignment V (Week 7) 
  • It is impossible to set up a table giving areas
    of regions lying beneath normal curves for each
    different pair of means, ?, and standard
    deviations, ?. Clearly one way to get around
    this problem is to standardize the distribution
    so that we can work with a normal curve having
    mean 0, and standard deviation 1. Then, a single
    table will be sufficient to estimate areas.
  •  

20
  • Suppose that Tom and Diane are enrolled in two
    different sections of a statistics class. Assume
    a sufficiently large class size, so that the
    scores on the first exam follow a normal
    distribution. In Toms section, the average is
    60 and his score is 72. In Dianes section, the
    average is 71 and her score is 83. Both are
    happy because their scores are 12 points above
    the average of each respective section. Who did
    better and why?

21
  • Suppose that the standard deviations in Dianes
    section was ?6.4 and in Toms section was ?6.5.
    Now who did better and why?
  •  
  • Find Dianes percentile and Toms percentile.

22
Writing Assignment VI (Week 8) 
  • Often in real life it is almost impossible to
    find the mean of a large population.
  • A)   If you were a statistician and needed to
    find the mean of a large population, what could
    you do to estimate the population mean?

23
  • B)   Does the method that you describe in part A
    take into consideration the possible occurrence
    of great numbers of outliers?
  • C)    How might you modify or extend the method
    you describe in part A to reduce the influence of
    outliers on your estimate of the mean.

24
Writing Assignment VII (Week 9)
  • Describe in your own words the (celebrated)
    Central Limit Theorem. What assumptions must be
    met in order to use its conclusions? Give an
    example of a situation where the Central Limit
    theorem may fail because of unmet assumptions

25
Writing Assignment VIII (Week 10)
  • Compare the graph of the normal distribution of x
    (whole population) to the graph of the normal
    distribution of (means of the samples that are
    taken, that is, sample means). In your
    discussion be sure to include comparison of the
    means, standard deviations.
  • Could the two curves coincide exactly?

26
Writing Assignment IX (Week 11)
  • Cancer patients using a certain treatment have an
    average survival time of 2 years with a standard
    deviation of 4 months. A physician claims that
    his new method of treatment increases the average
    survival time of patients, while keeping the
    standard deviation the same.
  •  
  • 100 randomly chosen patients who received this
    new treatment had an average survival time of 26
    months.

27
  • 1) What is the probability that 100 randomly
    chosen patients had an average survival of 26
    months or more?
  • 2) Interpret the result of problem 1 in a
    paragraph, defending your reasoning whether the
    claim that the new treatment is more effective or
    is bogus (not more effective).

28
Steps For Completing The Final Project
  • (1) Use the Internet to obtain sample data. There
    are many, many possibilities here, depending
    mainly on you own interests. The only
    restriction is that the data that you choose must
    be part of a larger whole. For example, data
    collected over the 50 states on teenage pregnancy
    would be a natural sample of national teenage
    pregnancy. Data collected over various countries
    could be a reasonable sample of global data,
    but you would have to be careful about country
    selection.
  • Task assigned week 1. Due date Beginning of
    week 3. Feedback week 4.

29
  • (2) Compute the descriptive statistics for your
    data (mean, mode, median, standard deviation,
    minimum, maximum, quartiles), and prepare a
    histogram and box plot.
  • Task assigned beginning of week 4. Due date
    beginning of week 5. Feedback end of week 5.

30
  • (3) Describe in your own words the data you have
    chosen for your project, and why you have
    selected it. What goals do you hope to achieve
    in carrying out your project? Please include in
    this writing a discussion of any formulas you
    will use in the computation section to follow.
    Define the variables used in the formulas.
  • Task assigned beginning of week 4. Due date
    beginning of week 7. Feedback beginning of week
    9.

31
  • (4)   Carry out the computation at a confidence
    level of 95.
  • Task assigned end of week 9. Due date end of
    week 11. Feedback week 12.
  •  
  • (5) Write a cogent conclusion for your project
    and submit the completed work to your teacher.
  • Task assigned end of week 9. Due date end of
    week 11. Feedback week 12.

32
Questions ?
  • Workload?
  • Time?
  • Class size?
  • Other?

33
YOU CAN FIND THIS INFORMATION IN OUR COURSE WEB
SITEhttp//faculty.lagcc.cuny.edu/rsezer/
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