| Description |
xvii, 699 pages : illustrations ; 26 cm |
| Bibliography |
Includes bibliographies and index. |
| Contents |
What is statistics -- Tabular and pictorial methods for describing data : Types of variables and data -- Stem-and-leaf displays -- Frequency distributions -- Histograms -- From samples to populations -- Transforming data for ease of description -- Numerical summary measures : Measuring the center of a data set -- Measuring variability in a data set -- Describring and summarizing a distribution -- Summarizing bivariate data : Scatter plots -- Correlation -- Fitting a line to bivariate data -- Assessing the fit of a line -- Transforming data to straighten a plot and fit a curve -- Probabability and probability distributions : Probability -- Random variables and probability distributions -- The mean value and standard deviation of a random variable -- The normal distribution -- The binomial distribution -- Sampling distributions : Statistics and random samples -- The sampling distribution of x -- General rules concerning the sampling distribution of x -- The sampling distribution of a sample proportion -- Estimating a population characteristic -- Interval estimation using a single sample : A large-sample confidence interval for a population mean -- A small-sample confidence interval for a mean of a normal population -- A large-sample confidence interval for a population proportion -- Hypothesis testing using a single sample : Hypotheses and test procedures -- Errors in hypothesis testing -- Large-sample hypothesis tests for a population mean -- P-values -- Small-sample hypothesis tests for the mean of a normal population -- Large-sample hypothesis tests for a population proportion -- Type II error probabilities for selected tests -- Inferences using two different samples : The sampling distribution of a difference -- Large-sample inferences concerning a difference between two population means -- Small-sample inferences concerning a difference between two normal population means -- Large-sample inferences concerning a difference between two population proportions -- Distribution-free procedures for inferences concerning a difference between two population means -- Inference using paired data : Pairing versus independent samples -- Inferences concerning a difference between two population means -- Distribution-free procedures for inferences concerning a difference between two population means -- Simple linear regression and correlation : The simple linear regression model -- Inferences concerning the slope of the population regression line -- Inferences based on the estimated regression line -- Inferences concerning the population correlation coefficient -- Checking model adequacy -- Multiple regression analysis : Multiple regression models -- Fitting a model and assessing its utility -- Inferences based on an estimated model -- Other issues in multiple regression -- The analysis of variance : Single factor ANOVA and the F test -- ANOVA computations -- Multiple comparisons -- The F test for a randomized block experiment -- Two-factor ANOVA - Distribution-free ANOVA -- The analysis of categorical data and goodness-of-fit methods : Summarizing categorical data using one- and two-way frequency tables -- Hypothesis testing using a one-way frequency table -- Hypothesis testing using a two-way frequency table -- Goodness-of-fit tesets for a population model. |
| Subject |
Mathematical statistics.
|
| Added Author |
Peck, Roxy.
|
| ISBN |
0314931724: $26.95 |
|
9780314931726 |
|
