AGAINST ALL ODDS: INSIDE STATISTICS

a videotape series on introductory (not calculus based) statistics

Each half-hour program contains several documentary segments shot on location to illustrate varied applications of statistics, as well as explanations of the statistical ideas and examples of how to do the computations. The numbers after the titles below are the corresponding sections of David Moore’s textbook, Basic Practice of Statistics, 2nd ed., which is used in the mathematics department at ACC and in both the mathematics and business departments at the University of Texas at Austin.

 The entire videotape series is available for viewing in the Media Centers of the Learning Resource Centers. The entire series will also be shown each semester on the ACC channel of local cable systems. Videotaping these programs for personal use does not violate copyright laws. It is expected that students and others will do so.

Fall and Spring 16-week semester | Summer 11-week semester | Summer 5.5-week semester

Schedule for the Fall and Spring

Week

Program Title

Section of BPS text

1
  1. What is Statistics?

 

1
  • Picturing Distributions

    • 1.1

    2
  • Numerical Description of Dist'ns

    • 1.2

    2
  • Normal Distributions

    • 1.3

    3
  • Normal Calculations

    • 1.3

    3
  • Time Series

    • 1.1

    4
  • Models for Growth

    • 2.3

    4
  • Describing Relationships

    • 2.1

    5
  • Correlation

    • 2.2

    5
  • Multidimensional Data Analysis
    		•

     

    6
  • The Question of Causation

    • 2.4

    6
  • Experimental Design

    • 3.2

    7
  • Experiments and Samples

    • 3.1

    7
  • Sampling and Sampling Dist’ns

    • 4.3

    8
  • What is Probability?

    • 4.2

    8
  • Random Variables

    • 4.2

    9
  • Binomial Distributions

    • 5.2

    9
  • The Sample Mean and Control Charts
    		•

    4.3, 4.4

    10
  • Confidence Intervals

    • 6.1

    10
  • Significance Tests

    • 6.2, 6.3

    11
  • Inference for One Mean

    • 7.1

    12
  • Comparing Two Means

    • 7.1, 7.2

    13
  • Inference for Proportions

    • 8.1, 8.2

    14
  • Inference for Two-Way Tables

    • Ch. 9

    15
  • Inference for Relationships
    		•

    Ch. 11

    15
  • Case Study

    • Ch. 6 - 12

    Schedule for the 11-week summer session

    Week

    Program Title

    Section of BPS text

    1
    1. What is Statistics?

     

    1
  • Picturing Distributions

    • 1.1

    1
  • Numerical Description of Dist'ns

    • 1.2

    2
  • Normal Distributions

    • 1.3

    2
  • Normal Calculations

    • 1.3

    2
  • Time Series

    • 1.1

    3
  • Models for Growth

    • 2.3

    3
  • Describing Relationships

    • 2.1

    3
  • Correlation

    • 2.2

    4
  • Multidimensional Data Analysis
    		•

     

    4
  • The Question of Causation

    • 2.4

    4
  • Experimental Design

    • 3.2

    5
  • Experiments and Samples

    • 3.1

    5
  • Sampling and Sampling Dist’ns

    • 4.3

    5
  • What is Probability?

    • 4.2

    6
  • Random Variables

    • 4.2

    6
  • Binomial Distributions

    • 5.2

    6
  • The Sample Mean and Control Charts
    		•

    4.3, 4.4

    7
  • Confidence Intervals

    • 6.1

    7
  • Significance Tests

    • 6.2, 6.3

    7
  • Inference for One Mean

    • 7.1

    8
  • Comparing Two Means

    • 7.1, 7.2

    8
  • Inference for Proportions

    • 8.1, 8.2

    8
  • Inference for Two-Way Tables

    • Ch. 9

    9
  • Inference for Relationships
    		•

    Ch. 11

    9
  • Case Study

    • Ch. 6 - 12

     

    Schedule for the 5.5 week summer session

    Week

    Program Title

    Section of BPS text

    1
    1. What is Statistics?

     

    1
  • Picturing Distributions

    • 1.1

    1
  • Numerical Description of Dist'ns

    • 1.2

    1
  • Normal Distributions

    • 1.3

    1
  • Normal Calculations

    • 1.3

    2
  • Time Series

    • 1.1

    2
  • Models for Growth

    • 2.3

    2
  • Describing Relationships

    • 2.1

    2
  • Correlation

    • 2.2

    2
  • Multidimensional Data Analysis
    		•

     

    3
  • The Question of Causation

    • 2.4

    3
  • Experimental Design

    • 3.2

    3
  • Experiments and Samples

    • 3.1

    3
  • Sampling and Sampling Dist’ns

    • 4.3

    3
  • What is Probability?

    • 4.2

    4
  • Random Variables

    • 4.2

    4
  • Binomial Distributions

    • 5.2

    4
  • The Sample Mean and Control Charts
    		•

    4.3, 4.4

    4
  • Confidence Intervals

    • 6.1

    4
  • Significance Tests

    • 6.2, 6.3

    5
  • Inference for One Mean

    • 7.1

    5
  • Comparing Two Means

    • 7.1, 7.2

    5
  • Inference for Proportions

    • 8.1, 8.2

    5
  • Inference for Two-Way Tables

    • Ch. 9

    5
  • Inference for Relationships
    		•

    Ch. 11

    6
  • Case Study

    • Ch. 6 - 12

     

    Last updated December 27, 2001. Mary Parker