6COMMON ERRORS IN RANDOM AND STRATIFIED SAMPLING
29HIDDEN VARIABLES AND OMITTED FACTORS
7MODULE 02: THE STRATEGICALLY CHOSEN AVERAGE
30INCORRECT INTERPRETATIONS OF STATISTICAL RELATIONSHIPS
8PRACTICAL DIFFERENCES BETWEEN MEAN, MEDIAN AND MODE
31MODULE 08: POST HOC STRIKES AGAIN
9NORMAL DISTRIBUTIONS AND SKEWED DISTRIBUTIONS
32CONFUSION BETWEEN TEMPORAL SUCCESSION AND CAUSALITY
10HOW AVERAGES CAN HIDE INEQUALITIES
33STATISTICAL COINCIDENCES VS. CAUSAL RELATIONSHIPS
11MODULE 03: THE SMALL FIGURES THAT DON'T APPEAR
34HOW TO DETECT SIMPLISTIC EXPLANATIONS
12SAMPLE SIZE AND RANDOM VARIATION
35MODULE 09: HOW TO CREATE PERSUASIVE STATISTICS
13SIGNIFICANCE LEVEL AND MARGIN OF ERROR
36STRATEGIC DATA SELECTION
14IMPORTANCE OF RANGE AND DISPERSION VERSUS THE AVERAGE
37AMBIGUOUS WORDING AND IMPRECISE TERMS
15MODULE 04: A LOT OF ANOTHER QUIET FOR ALMOST NOTHING
38SELECTIVE PRESENTATION OF FAVORABLE RESULTS
16PROBABLE ERROR AND STANDARD ERROR
39MODULE 10: HOW TO RESPOND TO STATISTICS
17STATISTICALLY SIGNIFICANT DIFFERENCES VS. ACTUAL DIFFERENCES
40WHO CLAIMS IT AND HOW DO THEY KNOW IT?
18CORRECT INTERPRETATION OF COEFFICIENTS AND INDICES
41WHAT IS MISSING FROM THE INFORMATION PRESENTED?
19MODULE 05: THE SPECTACULAR GRAPHIC
42DOES THE DATA MAKE LOGICAL AND CONTEXTUAL SENSE?
20MANIPULATION OF SCALES IN GRAPHS
43YOUR 90-DAY TRANSFORMATION PLAN
21TRUNCATED AXES AND VISUAL ENLARGEMENT OF DIFFERENCES
44CONCLUSION AND NEXT STEPS
22VISUAL PRESENTATION THAT LEADS TO ERRONEOUS CONCLUSIONS
45REVIEWS
23CHAPTER 06: THE ONE-DIMENSIONAL IMAGE
