Statistics

course

assignments

Eleven

due Tuesday April 26

  • Do #19 and #20 in section 10-3
  • Do #19 and #20 in section 10-4
  • Do #1 in Data Analysis, pg 543
  • Work on your project
  • last test sometime near the 28th

Ten

due Tuesday April 19

  • Read chapter 10, on correlation and regression
  • No written assignment this week - work on your projects.

Nine

due Tuesday April 12

  • Read
    • two-way anova, pg 600-608
    • more 2-way reading online; see chapter 16 in Vassar stat text
  • Note that in Excel, this is "Anova: 2 factor with replication". Excel expects that the selected rectangle includes labels i.e. A=1, B=1, etc. in the following 3x3 example with 2 rows per sample. In other words, in the first column, the numbers (2,1) are both independent measures of the effect when the factors A and B are both 1. 
              A=1   A=2   A=3
   B=1    2     10    50
          1     12    47
   B=2    4      8    52
          5      9    45
   B=3    7      6    40
         10      8    44
  • Note also that the vassar online tools will do 2-way anova, with a few variations depending on pairing between samples, so that's an alternative to Excel. It'll even given the "which column or row is different", though it won't do plots.
  • Do
    • pg 609 and 610, #11 and #15.
    • for both of these, find not only the p-value for main effect and interactions, but also sketch any plots appropriate to understanding what's going on.

Eight

due Tuesday April 5

  • Read
    • F-test : pg 444-450
    • one-way ANOVA : pg 584-593 (k groups)
  • Do
    • pg 450, #11
    • pg 616, #5
    • pg 617, data analysis, #1 or #2

Seven

due Tuesday March 10

  • Do
    • Study for Test 2 through chap 9, time TBA
    • Submit a project proposal : ask a question, acquire some data, and analyze it. It'll be due near the end of the term.

Six

due Thursday March 3

  • Note: no class Tues March 1
  • Read
    • chapter 9 in Elementary Statistics, the parts on comparing means and proportions for small/large and paired/unpaired samples.
  • Do
    • pg 486-487, Exercises 11, 13
    • pg 487, Data Analysis #3

Six

due Thursday March 3

  • Note: no class Tues March 1
  • Read
    • chapter 9 in Elementary Statistics, the parts on comparing means and proportions for small/large and paired/unpaired samples.
  • Do
    • pg 486-487, Exercises 11, 13
    • pg 487, Data Analysis #3

Five

due Thursday Febuary 24

  • Read
    • chapter 8 in Elementary Statistics, on hypothesis tests
  • Do
    • pg 388, #9 and #17
    • pg 405, #11

Four

due Thursday Febuary 17

  • Read
    • chapter 7 in Elementary Statistics, on confidence intervals and the student's t-distribution
  • Do
    • pg 336, # 17, 19
    • pg 350, #15
    • pg 361, #2, 11
    • pg 344, #7, 9
    • because of the test, I'll
  • Test Sat/Sun 19/20 on chapter 1-7
    • Pick it up from my office door, do it, put it under the door.
    • Closed book, don't talk to others.
    • One sheet of notes, calculator or computer for calculations

Three

due Thursday Febuary 10

  • Read
    • chapters 5 and 6 in Elementary Statistics, on the binomial and normal probability distributions
  • Do
    • pg 248, numbers 7, 13, and 25.
    • Chap 5 review exercises, pg 263 and following, numbers 11 (and sketch a plot of p(x)) and 19.
    • pg 319, numbers 5 and 13.
    • One more coming ... a dice experiment that I'll describe on Tuesday.

Two

due Thursday Febuary 3

  • Read
    • chapters 3 and 4 in Elementary Statistics
  • Do
    • Find the mean and standard deviation for the data in exercises 1 and 5 pg 159, chapter 3. Which formulas are you using? Why?
    • Also do problems 13 and 17 on page 160.
    • Check out the data files at CMU's Data and Story Library. For a data set of your choice,
      • Construct a histogram.
      • Find the mean and standard deviation.
      • Find how much of the data is within 1 standard deviation of the mean
      • and how much is within 2 standard deviations of the mean.
    • OK, finally a few probability questions.
      • Explain what we mean by the following, and why : the probability of A or B is P(A) + P(B). What assumptions are being made? What does this notation mean?
      • Explain what we mean by the following, and why : the probability of A and B is P(A)* P(B). Again, what assumptions are being made?
      • Do these exercises from chapter 4, pg 219 and following: 9, 25, 39

One

due Thursday January 27

  • Read
    • chapters 1 and 2 in Elementary Statistics
    • Read chapters 5 and 6 in How to Lie with Statistics
  • Do
    • Exercises 14 and 24 from chapter 1 on pgs 27,28
    • Number 3 on pg 30. Discuss the pros and cons of what's a "cause" and what's a "correlation" here. What details of the study would you want to hear about to decide whether piano lessons cause math profiency?
    • Plot two sets of data on a histogram, using Excel.
      1. Exercise section 2-2, #11 on pg 43
      2. Data Analysis 1 on pg 89
last modified Monday May 23 2005 2:14pm EDT