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001. Preface
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002. The Importance of Statistics
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003. Statistical Observation: Forms and Types
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004. Basic Definitions
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005. The Importance of Sampling
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006. The Functions of Statistics
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007. Levels of Measurements
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008. Chapter Checklist
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009. Describing data sets. Organization and grouping. Introduction. Methods of Organizing Data
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010. Frequency Distributions
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011. Class Intervals and Midpoints
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012. Cumulative Frequency Distributions
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013. Relative Frequency Distributions
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014. Cumulative Relative Frequency Distribution
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015. Contingency Tables (Cross-Tabulations or Cross-Tabs)
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016. Pictorial Displays
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017. Stem – And – Leaf Designs
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018. Chapter Checklist 2
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019. Measures of central tendency and dispersion. Introduction
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020. Measures of Central Tendency for Ungrouped Data
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021. The Geometric Mean
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022. Measures of Central Tendency for Grouped Data
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023. Selecting the Appropriate Measure of Central Tendency
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024. Measures of Dispersion for Ungrouped Data
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025. Variance and the Standard Deviation for a Population
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026. Variance and the Standard Deviation for a Sample
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027. Calculating the Variance and Standard Deviation with Grouped Data
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028. Other Measures of Dispersion
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029. Common Uses for the Standard Deviation
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030. The Normal Distribution and the Empirical Rule
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031. Skewness and Coefficient of Variation
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032. Chapter Checklist 3
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033. Рrobability distributions. Principles of Probability
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034. Probability Approaches
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035. Relationships between Events
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036. Unions, Intersections and Venn Diagrams
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037. Frequency Tables and Probability Tables
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038. Two Rules of Probability
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039. Baye’s Rule and Conditional Probability
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040. Probability Distributions
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041. The Mean and the Variance of Discrete Random Variables
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042. The Binomial Distribution
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043. The Poisson Distribution
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044. The Hypergeometric Distribution
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045. The Uniform Distribution
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046. The Exponential Distribution
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047. Chapter Checklist 4
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048. Sampling distributions: an introduction to inferential statistics. Introduction
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049. The Mean of the Sample Means
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050. The Standard Error of the Sampling Distributions
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051. The Standard Error and Normality
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052. The Central Limit Theorem
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053. Using the Sample Distribution
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054. Types of Samples
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055. Chapter Checklist 5
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056. Estimation/ Introduction
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057. Тhe Principle of a Confidence Interval
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058. The Probability of Error–The Alpha Value
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059. Confidence Intervals for the Population Mean – Large Samples
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060. Confidence Intervals for the Population Mean – Small Samples
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061. Confidence Intervals for Population Proportions
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062. Controlling the Interval Width
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063. Adjusting the Level of Confidence
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064. Adjusting the Sample Size
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065. Determining the Sample Size
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066. Sample Size for the population mean
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067. Sample Size for intervals of population proportion π
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068. Properties of Good Estimators
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069. Chapter Checklist 6
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070. Simple regression and correlation analysis. Introduction
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