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Schaum's outline of theory and problems of beginning statistics

Author: Larry J Stephens
Publisher: New York : McGraw-Hill, 2006.
Series: Schaum's outline series.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
Summary:

Includes output from Excel, SAS, SPSS, STATISTIX, and MINITAB, which are used for college courses on statistics. This title also includes statistical examples taken from the media sources.

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Genre/Form: Statistics
Outlines and syllabi
Problems and exercises
Outlines, syllabi, etc
Problems, exercises, etc
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Larry J Stephens
ISBN: 0071459324 9780071459327
OCLC Number: 70223045
Notes: Includes index.
Description: 413 pages : illustrations ; 28 cm.
Contents: Statistics --
Descriptive Statistics --
Inferential Statistics: Population and Sample --
Variable, Observation, and Data Set --
Quantitative Variable: Discrete and Continuous Variable --
Qualitative Variable --
Nominal, Ordinal, Interval, and Ratio Levels of Measurement --
Summation Notation --
Computer Software and Statistics --
Organizing Data --
Raw Data --
Frequency Distribution for Qualitative Data --
Relative Frequency of a Category --
Percentage --
Bar Graph --
Pie Chart --
Frequency Distribution for Quantitative Data --
Class Limits, Class Boundaries, Class Marks, and Class Width --
Single-Valued Classes --
Histograms --
Cumulative Frequency Distributions --
Cumulative Relative Frequency Distributions --
Ogives --
Stem-and-Leaf Displays --
Descriptive Measures --
Measures of Central Tendency --
Mean, Median, and Mode for Ungrouped Data --
Measures of Dispersion --
Range, Variance, and Standard Deviation for Ungrouped Data --
Measures of Central Tendency and Dispersion for Grouped Data --
Chebyshev's Theorem --
Empirical Rule --
Coefficient of Variation --
Z Scores --
Measures of Position: Percentiles, Deciles, and Quartiles --
Interquartile Range --
Box-and-Whisker Plot --
Probability --
Experiment, Outcomes, and Sample Space --
Tree Diagrams and the Counting Rule --
Events, Simple Events, and Compound Events --
Probability --
Classical, Relative Frequency and Subjective Probability Definitions --
Marginal and Conditional Probabilities --
Mutually Exclusive Events --
Dependent and Independent Events --
Complementary Events --
Multiplication Rule for the Intersection of Events --
Addition Rule for the Union of Events --
Bayes' Theorem --
Permutations and Combinations --
Using Permutations and Combinations to Solve Probability Problems --
Discrete Random Variables --
Random Variable --
Discrete Random Variable --
Continuous Random Variable --
Probability Distribution --
Mean of a Discrete Random Variable --
Standard Deviation of a Discrete Random Variable --
Binomial Random Variable --
Binomial Probability Formula --
Tables of the Binomial Distribution --
Mean and Standard Deviation of a Binomial Random Variable --
Poisson Random Variable --
Poisson Probability Formula --
Hypergeometric Random Variable --
Hypergeometric Probability Formula --
Continuous Random Variables and Their Probability Distributions --
Uniform Probability Distribution --
Mean and Standard Deviation for the Uniform Probability Distribution --
Normal Probability Distribution --
Standard Normal Distribution --
Standardizing a Normal Distribution --
Applications of the Normal Distribution --
Determining the z and x Values When an Area under the Normal Curve is Known --
Normal Approximation to the Binomial Distribution --
Exponential Probability Distribution --
Probabilities for the Exponential Probability Distribution --
Sampling Distributions --
Simple Random Sampling --
Using Random Number Tables --
Using the Computer to Obtain a Simple Random Sample --
Systematic Random Sampling --
Cluster Sampling --
Stratified Sampling --
Sampling Distribution of the Sampling Mean --
Sampling Error --
Mean and Standard Deviation of the Sample Mean --
Shape of the Sampling Distribution of the Sample Mean and the Central Limit Theorem --
Applications of the Sampling Distribution of the Sample Mean --
Sampling Distribution of the Sample Proportion --
Mean and Standard Deviation of the Sample Proportion --
Shape of the Sampling Distribution of the Sample Proportion and the Central Limit Theorem --
Applications of the Sampling Distribution of the Sample Proportion --
Estimation and Sample Size Determination: One Population --
Point Estimate --
Interval Estimate --
Confidence Interval for the Population Mean: Large Samples --
Maximum Error of Estimate for the Population Mean --
The t Distribution --
Confidence Interval for the Population Mean: Small Samples --
Confidence Interval for the Population Proportion: Large Samples --
Determining the Sample Size for the Estimation of the Population Mean --
Determining the Sample Size for the Estimation of the Population Proportion --
Tests of Hypotheses: One Population --
Null Hypothesis and Alternative Hypothesis --
Test Statistic, Critical Values, Rejection and Nonrejection Regions --
Type I and Type II Errors --
Hypothesis Tests about a Population Mean: Large Samples --
Calculating Type II Errors --
P Values --
Hypothesis Tests about a Population Mean: Small Samples --
Hypothesis Tests about a Population Proportion: Large Samples --
Inferences for Two Populations --
Sampling Distribution of X[subscript 1] --
X[subscript 2] for Large Independent Samples --
Estimation of [mu subscript 1] --
[mu subscript 2] Using Large Independent Samples --
Testing Hypothesis about [mu subscript 1] --
[mu subscript 2] Using Large Independent Samples --
Sampling Distribution of X[subscript 1] --
X[subscript 2] for Small Independent Samples from Normal Populations with Equal (but unknown) Standard Deviations --
Estimation of [mu subscript 1] --
[mu subscript 2] Using Small Independent Samples from Normal Populations with Equal (but unknown) Standard Deviations --
Testing Hypothesis about [mu subscript 1] --
[mu subscript 2] Using Small Independent Samples from Normal Populations with Equal (but Unknown) Standard Deviations --
Sampling Distribution of X[subscript 1] --
X[subscript 2] for Small Independent Samples from Normal Populations with Unequal (and Unknown) Standard Deviations --
Estimation of [mu subscript 1] --
[mu subscript 2] Using Small Independent Samples from Normal Populations with Unequal (and Unknown) Standard Deviations --
Testing Hypothesis about [mu subscript 1] --
[mu subscript 2] Using Small Independent Samples from Normal Populations with Unequal (and Unknown) Standard Deviations --
Sampling Distribution of d for Nonnally Distributed Differences Computed for Dependent Samples --
Estimation of [mu subscript d] Using Normally Distributed Differences Computed from Dependent Samples --
Testing Hypothesis about [mu subscript d] Using Normally Distributed Differences Computed from Dependent Samples --
Sampling Distribution of P[subscript 1] = P[subscript 2] for Large Independent Samples --
Estimation of P[subscript 1] --
P[subscript 2] Using Large Independent Samples --
Testing Hypothesis about P[subscript 1] --
P[subscript 2] Using Large Independent Samples --
Chi-Square Procedures --
Chi-square Distribution --
Chi-square Tables --
Goodness-of-Fit Test --
Observed and Expected Frequencies --
Sampling Distribution of the Goodness-of-Fit Test Statistic --
Chi-square Independence Test --
Sampling Distribution of the Test Statistic for the Chi-square Independence Test --
Sampling Distribution of the Sample Variance --
Inferences Concerning the Population Variance --
Analysis of Variance (ANOVA) --
F Distribution --
F Table --
Logic Behind a One-Way ANOVA --
Sum of Squares, Mean Squares, and Degrees of Freedom for a One-Way ANOVA --
Sampling Distribution for the One-Way ANOVA Test Statistic --
Building One-Way ANOVA Tables and Testing the Equality of Means --
Logic Behind a Two-Way ANOVA --
Sum of Squares, Mean Squares, and Degrees of Freedom for a Two-Way ANOVA --
Building Two-Way ANOVA Tables --
Sampling Distributions for the Two-Way ANOVA --
Testing Hypothesis Concerning Main Effects and Interaction --
Regression and Correlation --
Straight Lines --
Linear Regression Model --
Least-Squares Line --
Error Sum of Squares --
Standard Deviation of Errors --
Total Sum of Squares --
Regression Sum of Squares --
Coefficient of Determination --
Mean, Standard Deviation, and Sampling Distribution of the Slope of the Estimated Regression Equation --
Inferences Concerning the Slope of the Population Regression Line --
Estimation and Prediction in Linear Regression --
Linear Correlation Coefficient --
Inference Concerning the Population Correlation Coefficient --
Nonparametric Statistics --
Nonparametric Methods --
Sign Test --
Wilcoxon Signed-Ranks Test for Two Dependent Samples --
Wilcoxon Rank-Sum Test for Two Independent Samples --
Kruskal-Wallis Test --
Rank Correlation --
Runs Test for Randomness --
Binomial Probabilities --
Areas under the Standard Normal Curve from 0 to Z --
Area in the Right Tail under the t Distribution Curve --
Area in the Right Tail under the Chi-square Distribution Curve --
Area in the Right Tail under the F Distribution Curve.
Series Title: Schaum's outline series.
Other Titles: Theory and problems of beginning statistics
Beginning statistics
Responsibility: Larry J. Stephens.
More information:

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Primary Entity

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