Bob Secrist

Math 130 Spring 2008 Traditional Class Schedule (Revised 20 December 2007)
with links to notes.

The due date is the final date for completing the session.  The study material and notes are given in the Reading column and the assignments are given in the Activity column.  You will want to print copies of this schedule so that you can place one next to your computer and one in your statistics notebook.

You may access the notes and assignments at http://academic.kellogg.edu/secristb/.  Click on Statistics Math 130 (Traditional).  Then you will see links to both the syllabus and schedule.  Now click on schedule and you will see the schedule with links to the class notes. These are actually the notes for the online course, but they still apply.

Session

Due
Date

Topic

Reading

Activities
To be completed by the due date

1

Jan16
Wed

INTRODUCTION AND TERMINOLOGY

Course Introduction, Getting Started Lesson

Unit I, "Getting Started"  Assignment

2 Jan 17
Thu
NATURE OF PROBABILITY and STATISTICS
Learn what statistics is about.
Chapter 1 Unit I, Lesson 1 Assignment
(Click and Scroll
down the page)

3

Jan 23
Wed
ORGANIZING DATA
Organize data with frequency distributions.
Using your calculator
Chapter 2 Unit I, Lesson 2
Assignment

(Click and Scroll
down the page)

4

Jan 24
Thu
MEASURES OF CENTRAL TENDENCY
Mean, mode, median, midrange.

 

Chapter 3 Unit I, Lesson 3
Assignment

(Click and Scroll
down the page)

5

Jan 28
Mon
MEASURES OF VARIATION
Range, variance, standard deviation.
 
Chapter 3
  • Sec 3-3, pages 115-128
  • Sec 3-4, pages 133-144 
  • Sec 2-4, pages 73-76
  • Sec 3-5, pages 152-156
  • Session 5 notes.
Unit I, Lesson 4
Assignment

(Click and Scroll
down the page)
 
6 Jan 30
Wed
MEASURES OF POSITION
Percentiles, deciles, quartiles.
More graphs: stem-leaf plots, box plots
  • Sec 3-4, pages 133-144 
  • Sec 2-4, pages 73-76
  • Sec 3-5, pages 152-156
  • Session 6 notes.

 

Unit I, Lesson 5
Assignment

(Click and Scroll
down the page)

7

Jan 31
Thu
PROBABILITY
Sample spaces, classical & empirical probability.
Addition Rules for Probability.
Multiplication Rules for Probability.
Conditional Probability.


Chapter 4
  • Sec 4-2, page 172-183
  • Sec 4-3, pages 189-193
  • Sec 4.4, pages 199-208
  • Sec 4.5, pages 212-219 
  • Session 7 notes.
Unit I, Lesson 6
Assignment

(Click and Scroll
down the page)

 

Feb 6
Wed

UNIT I TEST Chapters 1 - 4

 Review all previous material.

Review Assignment
(Click and Scroll
down the page)

8

Feb 11
Mon
PROBABILITY & BINOMIAL DISTRIBUTIONS
Probability distributions.
Binomial Distribution
Chapter 5
  • Sec 5-2, pages 226-230
  • Sec 5-3, pages 232-236
  • Sec 5-4, pages 241-247
  •  Session 8 notes.
Unit II, Lesson 1

9

Feb 18
Mon
NORMAL DISTRIBUTION
Normal distribution.
Standard Normal Distribution.
Chapter 6
  • Sec 6-1, pages 268-270
  • Sec 6-2, pages 270-271
  • Sec 6-3, pages 271-282
  • Session 9 notes.
Unit II, Lesson 2
(Click and Scroll
down the page)

10

Feb 20
Wed
PROBABILITIES - NORMAL DISTRIBUTIONS
Convert to standard normal variable.
Percentages associated with standard normal distributions.
Chapter 6 Unit II, Lesson 3
(Click and Scroll
down the page)

11

Feb 21
Thu
CENTRAL LIMIT THEOREM
Solve problems involving sample means for large samples.
Chapter 6 Unit II, Lesson 4
(Click and Scroll
down the page)
12 Feb 27
Wed
CONFIDENCE INTERVAL FOR MEAN
Confidence Interval for Mean for Large Samples
Chapter 7 Unit II, Lesson 5
(Click and Scroll
down the page)

13

Feb 28
Thu
CONFIDENCE INTERVAL FOR MEAN (t-DISTRIBUTION
Confidence interval for mean for small samples.
t-distribution (student distribution).
Chapter 7 Unit II, Lesson 6
(Click and Scroll
down the page)

 

Mar 5
Wed

 

UNIT II TEST over chapters 5 - 7

 Review

Unit II, Lesson 7,
Review Assignment,
(Click and Scroll
down the page)

14

Mar10
Mon
HYPOTHESIS TESTING
State null and alternate hypotheses.
Critical Values for Z-test.
Procedure for hypothesis testing
Chapter 8 Unit III, Lesson 1

15

Mar12
Wed
Z-TEST FOR MEAN FOR LARGE SAMPLES
Z-test for means of large samples.
Chapter 8 Unit III, Lesson 2
(Click and Scroll
down the page)
16 Mar 17
Mon
Z-TEST FOR MEAN FOR LARGE SAMPLES
p-value method of hypothesis testing.
Chapter 8 Unit III, Lesson 2
(Click and Scroll
down the page)

17

Mar 19
Wed
T-TEST FOR MEAN FOR SMALL SAMPLES
Test means for small sample using t-test.
Chapter 8 Unit III, Lesson 3
(Click and Scroll
down the page)

18

Mar 20
Thu
TEST DIFFERENCE BETWEEN TWO MEANS (LARGE SAMPLES)
Test difference between two large sample means, using the Z-test.
Chapter 9 Unit III, Lesson 4
(Click and Scroll
down the page)

19

Mar 24
Mon
TEST DIFFERENCE BETWEEN TWO MEANS (SMALL INDEPENDENT SAMPLES)
Test difference between two means for small independent samples.
Chapter 9 Unit III, Lesson 5
(Click and Scroll
down the page)
20 Mar 26
Wed
TEST DIFFERENCE BETWEEN TWO MEANS (SMALL DEPENDENT SAMPLES)
Test difference between two means for small dependent samples.
Chapter 9 Unit III, Lesson 6
(Click and Scroll
down the page)

 

Mar 31
Mon

UNIT III TEST over Chapter 9

 Review

Unit III, Lesson 7,
Review Assignment
(Click and Scroll
down the page)

21 Apr 3
Thu
SCATTER PLOTS, CORRELATION
Draw a scatter plot.
Compute correlation coefficient.
Chapter 10 Unit IV, Lesson 1
22 Apr 14
Mon
LINEAR REGRESSION
Compute the equation of the regression line.
Chapter 10 Unit IV, Lesson 2
(Click and Scroll
down the page)
23 Apr 17
Thu
MEASURES OF REGRESSION - PREDICTION INTERVALS
Compute coefficient of determination.
Compute standard error of estimate.
Find prediction interval.
Chapter 10 Unit IV, Lesson 3
(Click and Scroll
down the page)
24 Apr 21
Mon
CHI SQUARE DISTRIBUTION
Confidence intervals for variance and standard deviation.
Chapter 7 Unit IV, Lesson 4
(Click and Scroll
down the page)
25 Apr 23
Wed
MORE CHI SQUARE DISTRIBUTION
Test distribution for "goodness of fit", using chi square.
Chapter 11 Unit IV, Lesson 5
(Click and Scroll
down the page)

 

Apr 28
Mon

UNIT IV TEST over Chapter 4.

 Review

 

 

Apr 30
Wed-
May 5
Mon
REVIEW - FINAL  EXAM
Review for the final examination, Practice final examination, Final examination.
All previous material.