Chapter 1 Data and Statistics
1.2 Data
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Elements, Variables, and Observations
Scales of Measurement
Categorical and Quantitative Data
Cross-Sectional and Time Series Data
1.3 Data Sources
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Observational Study
Experiment
1.4 Descriptive Statistics
1.5 Statistical Inference
1.7 Big Data and Data Mining
Chapter 2:Descriptive Statistics: Tabular and Graphical displays
2.1 Summarizing Data for a Categorical Variable 35
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Frequency Distribution
Relative Frequency and Percent Frequency Distributions
Bar Charts and Pie Charts
2.2 Summarizing Data for a Quantitative Variable
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Frequency Distribution
Relative Frequency and Percent Frequency Distributions
Dot Plot
Histogram
Cumulative Distributions
Stem-and-Leaf Display
2.3 Summarizing Data for Two Variables Using Tables 57
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Crosstabulation
Simpson’s Paradox
2.4 Summarizing Data for Two Variables Using Graphical
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Displays
Scatter Diagram and Trendline
Side-by-Side and Stacked Bar Charts
Chapter 3 Descriptive Statistics: Numerical Measures
3.1 Measures of Location
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Mean
Weighted Mean
Median
Geometric Mean
Mode
Percentiles
Quartiles
3.2 Measures of Variability
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Range
Interquartile Range
Variance
Standard Deviation
Coefficient of Variation
Chapter 4 : Introduction to Probability
4.1 RANDOM EXPERIMENTS, COUNTING RULES,
AND ASSIGNING PROBABILITIES
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Counting Rules,
Combinations and Permutations
Assigning Probabilities
Probabilities for the KP&L Project
4.3 SOME BASIC RELATIONSHIPS OF PROBABILITY
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Complement of an Event
Addition Law
4.4 Conditional Probability
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Conditional probability
Joint probability
Marginal probability
Independent events
Multiplication law