LEADER 00000cam  2200000 a 4500 
001    ocm12553649 
003    OCoLC 
005    20100607010004.0 
008    850828t19861986mnua     b    001 0 eng   
010       85020340 
020    0314931724:|c$26.95 
020    9780314931726 
035    (OCoLC)12553649 
040    DLC|beng|cDLC|dBTCTA|dBAKER|dYDXCP|dZWZ|dZID 
049    GPIA 
050 00 QA276|b.D48 1986 
082 00 001.4/22|219 
100 1  Devore, Jay L. 
245 10 Statistics :|bthe exploration and analysis of data /|cJay 
       Devore, Roxy Peck. 
264  1 St. Paul :|bWest Pub. Co.,|c[1986] 
264  4 |c©1986 
300    xvii, 699 pages :|billustrations ;|c26 cm 
336    text|btxt|2rdacontent 
337    unmediated|bn|2rdamedia 
338    volume|bnc|2rdacarrier 
504    Includes bibliographies and index. 
505 0  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. 
650  0 Mathematical statistics. 
700 1  Peck, Roxy. 
938    Baker and Taylor|bBTCP|n85020340 //r96|c$26.95 
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