U Can : statistics for dummies / by Rumsey, Deborah J. (Deborah Jean), 1961-, Unger, David, 1950-, Safari Books Online

Table of Contents: “…Grabbing Some Basic Statistical JargonData; Data set; Variable; Population; Statistic; Parameter; Mean (Average); Median; Standard deviation; Percentile; Standard score; Distribution and normal distribution; Central Limit Theorem; z-values; Margin of error; Confidence interval; Hypothesis testing; p-values; Statistical significance; Correlation, regression, and two-way tables; Drawing Credible Conclusions; Reeling in overstated results; Questioning claims of cause and effect; Becoming a Sleuth, Not a Skeptic; Part II Number-Crunching Basics; Chapter 4 Crunching Categorical Data.…”
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Schaum's Outline of Statistics / by Spiegel, Murray R, Stephens, Larry J., AccessEngineering

Table of Contents: “…Cover -- Title Page -- Copyright Page -- Dedication -- Preface to the Sixth Edition -- Preface to the Fourth Edition -- Preface to the Third Edition -- Preface to the Second Edition -- Contents -- Chapter 1 Variables and Graphs -- Statistics -- Population and Sample; Inductive and Descriptive Statistics -- Variables: Discrete and Continuous -- Rounding of Data -- Scientific Notation -- Significant Figures -- Computations -- Functions -- Rectangular Coordinates -- Graphs -- Equations -- Inequalities -- Logarithms -- Properties of Logarithms -- Logarithmic Equations -- Chapter 2 Frequency Distributions -- Raw Data -- Arrays -- Frequency Distributions -- Class Intervals and Class Limits -- Class Boundaries -- The Size, or Width, of a Class Interval -- The Class Mark -- General Rules for Forming Frequency Distributions -- Histograms and Frequency Polygons -- Dot Plots and Box Plots -- Relative-Frequency Distributions -- Cumulative-Frequency Distributions and Ogives -- Relative Cumulative-Frequency Distributions and Percentage Ogives -- Frequency Curves and Smoothed Ogives -- Types of Frequency Curves -- Chapter 3 The Mean, Median, Mode, and Other Measures of Central Tendency -- Index, or Subscript, Notation -- Summation Notation -- Averages, or Measures of Central Tendency -- The Arithmetic Mean -- The Weighted Arithmetic Mean -- Properties of the Arithmetic Mean -- The Arithmetic Mean Computed from Grouped Data -- The Median -- The Mode -- The Empirical Relation Between the Mean, Median, and Mode -- The Geometric Mean G -- The Harmonic Mean H -- The Relation Between the Arithmetic, Geometric, and Harmonic Means -- The Root Mean Square -- Quartiles, Deciles, and Percentiles -- Software and Measures of Central Tendency -- Chapter 4 The Standard Deviation and Other Measures of Dispersion -- Dispersion, or Variation -- The Range -- The Mean Deviation -- The Semi-Interquartile Range -- The 10-90 Percentile Range -- The Standard Deviation -- The Variance -- Short Methods for Computing the Standard Deviation -- Properties of the Standard Deviation -- Charlier's Check -- Sheppard's Correction for Variance -- Empirical Relations Between Measures of Dispersion -- Absolute and Relative Dispersion; Coefficient of Variation -- Standardized Variable; Standard Scores -- Software and Measures of Dispersion -- Chapter 5 Moments, Skewness, and Kurtosis -- Moments -- Moments for Grouped Data -- Relations Between Moments -- Computation of Moments for Grouped Data -- Charlier's Check and Sheppard's Corrections -- Moments in Dimensionless Form -- Skewness -- Kurtosis -- Population Moments, Skewness, and Kurtosis -- Software Computation of Skewness and Kurtosis -- Chapter 6 Elementary Probability Theory -- Definitions of Probability -- Conditional Probability; Independent and Dependent Events -- Mutually Exclusive Events -- Probability Distributions -- Mathematical Expectation -- Relation Between Population, Sample Mean, and Variance -- Combinatorial Analysis.…”
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Head first statistics / by Griffiths, Dawn, Safari Books Online

Table of Contents: “…; Box and whisker plots let you visualize ranges; Variability is more than just spread; Calculating average distances; We can calculate variation with the variance ... ; ... but standard deviation is a more intuitive measure; A quicker calculation for variance; What if we need a baseline for comparison?…”
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