Statistics : (Record no. 27537)

000 -LEADER
fixed length control field 06365cam a22003855i 4500
001 - CONTROL NUMBER
control field 17839413
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20190707230856.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field ta
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130805s2013 ctu 000 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2013947061
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780495553267 (student edition)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781285840727 (annotated instructors edition)
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency
042 ## - AUTHENTICATION CODE
Authentication code pcc
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23
Classification number 519.5/P33
085 ## - SYNTHESIZED CLASSIFICATION NUMBER COMPONENTS
-- 23
Number where instructions are found-single number or beginning number of span CMT 519.5/P33
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Peck, Roxy.
9 (RLIN) 6253
245 10 - TITLE STATEMENT
Title Statistics :
Remainder of title learning from data /
Statement of responsibility, etc. Roxy Peck.
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 1311
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Stamford, CT :
Name of producer, publisher, distributor, manufacturer Cengage Learning,
Date of production, publication, distribution, manufacture, or copyright notice ©2015.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 699 pages ;
Other physical details some colored illustrations ;
Dimensions 28 cm.
336 ## - CONTENT TYPE
Content type term text
521 ## - TARGET AUDIENCE NOTE
Target audience note
500 ## - GENERAL NOTE
General note Includes index. Includes Internet access.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Learning from Data. Statistics--It"s All About Variability. The Data Analysis Process. Goals for Student Learning. The Structure of the Chapters that Follow. Section I: COLLECTING DATA. 1. Collecting Data in Reasonable Ways. Statistical Studies: Observation and Experimentation. Collecting Data: Planning an Observational Study. Collecting Data: Planning an Experiment. The Importance of Random Selection and Random Assignment: What Types of Conclusions are Reasonable? Section II: DESCRIBING DATA DISTRIBUTIONS. 2. Graphical Methods for Describing Data Distributions. Selecting an Appropriate Graphical Display. Displaying Categorical Data: Bar Charts and Comparative Bar Charts. Displaying Numerical Data: Dotplots, Stem-and-Leaf Displays, and Histograms. Displaying Bivariate Numerical Data: Scatterplots and Time-Series Plots. Graphical Displays in the Media. 3. Numerical Methods for Describing Data Distributions. Selecting Appropriate Numerical Summaries. Describing Center and Spread for Data Distributions that are Approximately Symmetric. Describing Center and Spread for Data Distributions that are Skewed or Have Outliers. Summarizing a Data Set: Boxplots. Measures of Relative Standing: z-scores and Percentiles. 4. Describing Bivariate Numerical Data. Correlation. Linear Regression: Fitting a Line to Bivariate Data. Assessing the Fit of a Line. Describing Linear Relationships and Making Predictions--Putting it all Together. Bonus Material on Logistic Regression (Online). Section III: A FOUNDATION FOR INFERENCE: REASONING ABOUT PROBABILITY. 5. Probability. Interpreting Probabilities. Computing Probabilities. Probabilities of More Complex Events: Unions, Intersections and Complements. Conditional Probability. Probability as a Basis for Making Decisions. Estimating Probabilities Empirically and Using Simulation (Optional). 6. Random Variables and Probability Distributions. Random Variables. Probability Distributions for Discrete Random Variables. Probability Distributions for Continuous Random Variables. The Mean and Standard Deviation of a Random Variable. The Normal Distribution. Checking for Normality. The Binomial and Geometric Distributions (Optional). Using the Normal Distribution to Approximate a Discrete Distribution (Optional). Counting Rules, The Poisson Distribution (Online). Section IV: LEARNING FROM SAMPLE DATA. 7. An Overview of Statistical Inference--Learning from Data. Statistical Inference--What We Can Learn From Data. Selecting an Appropriate Method--Four Key Questions. A Five-Step Process for Statistical Inference. 8. Sampling Variability and Sampling Distributions. Statistics and Sampling Variability. The Sampling Distribution of a Sample Proportion. How Sampling Distributions Support Learning From Data. 9. Estimating a Population Proportion. Selecting an Estimator. Estimating a Population Proportion--Margin of Error. A Large-Sample Confidence Interval for a Population Proportion. Choosing a Sample Size to Achieve a Desired Margin of Error. 10. Asking and Answering Questions about a Population Proportion. Hypotheses and Possible Conclusions. Potential Errors in Hypothesis Testing. The Logic of Hypothesis Testing--An Informal Example. A Procedure for Carrying Out a Hypothesis Test. Large-Sample Hypothesis Tests for a Population Proportion. 11. Asking and Answering Questions about the Difference between Two Population Proportions. Estimating the Difference between Two Population Proportions. Testing Hypotheses about the Difference between Two Population Proportions. 12. Asking and Answering Questions about a Population Mean. Sampling Distribution of the Sample Mean. A Confidence Interval for a Population Mean. Testing Hypotheses about a Population Mean. 13. Asking and Answering Questions about the Difference between Two Population Means. Testing Hypotheses about the Difference between Two Population Means Using Independent Samples. Testing Hypotheses about the Difference between Two Population Means Using Paired Samples. Estimating the Difference between Two Population Means. Section V: ADDITIONAL OPPORTUNITIES TO LEARN FROM DATA. 14. Learning from Experiment Data. Variability and Random Assignment. Testing Hypotheses about Differences in Treatment Effects. Estimating a Difference in Treatment Effects. 15. Learning from Categorical Data. Chi-Square Tests for Univariate Categorical Data. Tests for Homogeneity and Independence in a Two-Way Table. 16. Understanding Relationships--Numerical Data Part 2 (Online). The Simple Linear Regression Model. Inferences Concerning the Slope of the Population Regression Line. Checking Model Adequacy. 17. Asking and Answering Questions about More Than Two Means (Online). The Analysis of Variance--Single-Factor ANOVA and the F Test. Multiple Comparisons. Appendix: ANOVA Computations.
520 ## - SUMMARY, ETC.
Summary, etc. Resolves common problems faced by learners of elementary statistics with an innovative approach. This book includes two chapters, one on statistical inference and another on learning from experiment data, address two common areas of confusion: choosing a particular inference method and using inference methods with experimental data.
521 ## - TARGET AUDIENCE NOTE
Target audience note
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics -- Textbooks.
9 (RLIN) 4099
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical statistics.
9 (RLIN) 4098
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 0
b ibc
c orignew
d 2
e epcn
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Books

No items available.