Excel 2013 for business statistics : a guide to solving practical business problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Introduction -- Sample size, mean, standard deviation, standard error of the mean -- Random number generator -- Confidence interval about the mean using the TINV function and hypothesis testing -- One-group t-test for the mean -- Two-group t-test of the difference of the means for independent groups -- Correlation and simple linear regression -- Multiple correlation and multiple regression -- One-way analysis of variance (ANOVA) -- Appendix A -- Appendix B -- Appendix C -- Appendix D -- Appendix E -- Index.…”
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Excel 2007 for educational and psychological statistics a guide to solving practical problems / by Quirk, Thomas Joseph, SpringerLink (Online service)

Table of Contents: “…Sample Size, Mean, Standard Deviation, and Standard Error of the Mean --…”
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Excel 2016 in applied statistics for high school students : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Ch 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- Ch 2 Random Number Generator -- Ch 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- Ch 4 One-Group t-Test for the Mean -- Ch 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- Ch 6 Correlation and Simple Linear Regression -- Ch 7 Multiple Correlation and Multiple Regression -- Ch 8 One-Way Analysis of Variance (ANOVA).…”
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Excel 2019 for advertising statistics : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.…”
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Excel 2019 in applied statistics for high school students : a guide to solving practical problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.…”
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Excel 2019 for Social Science Statistics A Guide to Solving Practical Problems / by Quirk, Thomas J., SpringerLink (Online service)

Table of Contents: “…Preface -- Acknowledgements -- 1 Sample Size, Mean, Standard Deviation, and Standard Error of the Mean -- 2 Random Number Generator -- 3 Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing -- 4 One-Group t-Test for the Mean -- 5 Two-Group t-Test of the Difference of the Means for Independent Groups -- 6 Correlation and Simple Linear Regression -- 7 Multiple Correlation and Multiple Regression -- 8 One-Way Analysis of Variance (ANOVA) -- Appendix A: Answers to End-of-Chapter Practice Problems -- Appendix B: Practice Test -- Appendix C: Answers to Practice Test -- Appendix D: Statistical Formulas -- Appendix E: t-table -- Index.…”
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Foundations of applied statistical methods / by Lee, Hang, SpringerLink (Online service)

Table of Contents: “…Intro -- Preface -- Contents -- Chapter 1: Description of Data and Essential Probability Models -- 1.1 Types of Data -- 1.2 Description of Data -- 1.2.1 Distribution -- 1.2.2 Description of Categorical Data -- 1.2.3 Description of Continuous Data -- 1.2.4 Stem-and-Leaf Plot -- 1.2.5 Box-and-Whisker Plot -- 1.3 Descriptive Statistics -- 1.3.1 Statistic -- 1.3.2 Central Tendency Descriptive Statistics for Quantitative Outcomes -- 1.3.3 Dispersion Descriptive Statistics for Quantitative Outcomes -- 1.3.4 Variance -- 1.3.5 Standard Deviation…”
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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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Introduction to probability and statistics for engineers and scientists / by Ross, Sheldon M., PALCI EBSCO books

Table of Contents: “…Cover -- Contents -- Preface -- CHAPTER 1 INTRODUCTION TO STATISTICS -- 1.1 INTRODUCTION -- 1.2 DATA COLLECTION AND DESCRIPTIVE STATISTICS -- 1.3 INFERENTIAL STATISTICS AND PROBABILITY MODELS -- 1.4 POPULATIONS AND SAMPLES -- 1.5 A BRIEF HISTORY OF STATISTICS -- CHAPTER 2 DESCRIPTIVE STATISTICS -- 2.1 INTRODUCTION -- 2.2 DESCRIBING DATA SETS -- 2.2.1 Frequency Tables and Graphs -- 2.2.2 Relative Frequency Tables and Graphs -- 2.2.3 Grouped Data, Histograms, Ogives, and Stem and Leaf Plots -- 2.3 SUMMARIZING DATA SETS -- 2.3.1 Sample Mean, Sample Median, and Sample Mode -- 2.3.2 Sample Variance and Sample Standard Deviation -- 2.3.3 Sample Percentiles and Box Plots -- 2.4 CHEBYSHEV'S INEQUALITY -- 2.5 NORMAL DATA SETS -- 2.6 PAIRED DATA SETS AND THE SAMPLE CORRELATION COEFFICIENT -- CHAPTER 3 ELEMENTS OF PROBABILITY -- 3.1 INTRODUCTION -- 3.2 SAMPLE SPACE AND EVENTS -- 3.3 VENN DIAGRAMS AND THE ALGEBRA OF EVENTS -- 3.4 AXIOMS OF PROBABILITY -- 3.5 SAMPLE SPACES HAVING EQUALLY LIKELY OUTCOMES -- 3.6 CONDITIONAL PROBABILITY -- 3.7 BAYES' FORMULA -- 3.8 INDEPENDENT EVENTS -- CHAPTER 4 RANDOM VARIABLES AND EXPECTATION -- 4.1 RANDOM VARIABLES -- 4.2 TYPES OF RANDOM VARIABLES -- 4.3 JOINTLY DISTRIBUTED RANDOM VARIABLES -- 4.3.1 Independent Random Variables -- *4.3.2 Conditional Distributions -- 4.4 EXPECTATION -- 4.5 PROPERTIES OF THE EXPECTED VALUE -- 4.5.1 Expected Value of Sums of Random Variables -- 4.6 VARIANCE -- 4.7 COVARIANCE AND VARIANCE OF SUMS OF RANDOM VARIABLES -- 4.8 MOMENT GENERATING FUNCTIONS -- 4.9 CHEBYSHEV'S INEQUALITY AND THE WEAK LAW OF LARGE NUMBERS -- CHAPTER 5 SPECIAL RANDOM VARIABLES -- 5.1 THE BERNOULLI AND BINOMIAL RANDOM VARIABLES -- 5.1.1 Computing the Binomial Distribution Function -- 5.2 THE POISSON RANDOM VARIABLE -- 5.2.1 Computing the Poisson Distribution Function -- 5.3 THE HYPERGEOMETRIC RANDOM VARIABLE -- 5.4 THE UNIFORM RANDOM VARIABLE -- 5.5 NORMAL RANDOM VARIABLES -- 5.6 EXPONENTIAL RANDOM VARIABLES -- *5.6.1 The Poisson Process -- *5.7 THE GAMMA DISTRIBUTION -- 5.8 DISTRIBUTIONS ARISING FROM THE NORMAL -- 5.8.1 The Chi-Square Distribution -- 5.8.2 The t-Distribution -- 5.8.3 The F-Distribution -- *5.9 THE LOGISTICS DISTRIBUTION -- CHAPTER 6 DISTRIBUTIONS OF SAMPLING STATISTICS -- 6.1 INTRODUCTION -- 6.2 THE SAMPLE MEAN -- 6.3 THE CENTRAL LIMIT THEOREM -- 6.3.1 Approximate Distribution of the Sample Mean -- 6.3.2 How Large a Sample Is Needed? …”
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Analyse statistique des données expérimentales / by Protassov, Konstantin, PALCI EBSCO books

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Insights from data with R : an introduction for the life and environmental sciences / by Petchey, Owen L., Beckerman, Andrew P., Cooper, Natalie (Life scientist), Childs, Dylan Z., Oxford Scholarship Online

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Probability, statistics and simulation : with application programs written in R / by Rotondi, Alberto, Pedroni, Paolo, Pievatolo, Antonio, SpringerLink (Online service)

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