Statistics II
by Rumsey, Deborah J., (Deborah Jean)
Packed with fresh and practical examples appropriate for a range of degree-seeking students, this easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.
Read More ↓Title Statements
- Full title :Statistics II / by Deborah J. Rumsey, PhD.
Summary
Packed with fresh and practical examples appropriate for a range of degree-seeking students, this easy-to-understand guide covers such key topics as sorting and testing models, using regression to make predictions, performing variance analysis (ANOVA), drawing test conclusions with chi-squares, and making comparisons with the Rank Sum Test.
Read More ↓Edition Statements
- Publication Date:©2022
- Edition:2nd edition
Publication Statements
- Publisher(s):John Wiley & Sons, Inc
- Place of Publication:Hoboken, New Jersey
- Language:eng
- Publication Date:©2022
Notes
Includes index.
The Physical Object
- Description:xv, 423 pages : : illustrations ; : 24 cm
Edition Identifiers
- ISBN:9781119827399, 1119827396
- oclc:on1241443402
- LC Classification:HA29
- Dewey Decimal:519.5
Table of Contents
Introduction -- Part 1: Tackling data analysis and model-building basics. Beyond number crunching : the art and science of data analysis ; Finding the right analysis for the job ; Having the normal and sampling distribution in your back pocket ; Reviewing confidence intervals and hypothesis tests -- Part 2: Using different types of regression to make predictions. Getting in line with simple linear regression ; Multiple regression with two X variables ; How can I miss you if you won't leave? Regression model selection ; Getting ahead of the learning curve with nonlinear regression ; Yes, no, maybe so : making predictions by using logistic regression -- Part 3: Analyzing variance with ANOVA. Testing lots of means? Come on over to ANOVA! ; Sorting out the means with multiple comparisons ; Finding your way through two-way ANOVA ; Regression and ANOVA : surprise relatives! -- Part 4: Building strong connections with Chi-square tests and nonparametrics. Forming associations with two-way tables ; Being independent enough for the Chi-square test ; Using Chi-square tests for goodness-of-fit (your data, not your jeans) ; Rebels without a distribution : nonparametric procedures ; All signs p…
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