Statistics : a gentle introduction / Frederick L. Coolidge.
Material type:
TextPublisher: Los Angeles : SAGE Publications, Inc, 2021Edition: Fourth editionDescription: xxiv, 512 pages : illustrations ; 24 cmContent type: - text
- unmediated
- volume
- 9781506368436
- 519.5 23 C777s
- QA276.12 .C67 2021
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
|
Main Library | Engineering Section | ENG 519.5 C777s 2021 (Browse shelf(Opens below)) | 1-1 | Available | 028505 |
Browsing Main Library shelves, Shelving location: Engineering Section Close shelf browser (Hides shelf browser)
|
|
|
|
|
|
|
||
| ENG 519.402462 C368n 2002 Numerical methods for engineers : with software and programming applications | ENG 519.40285513 C366m 2013 Matlab programming with applications for engineers/ | ENG 519.4028553042 H249m 2002 Mastering matlab 6 a comprehensive tutorial and reference/ | ENG 519.5 C777s 2021 Statistics : a gentle introduction / | ENG 519.5 D395a 2020 Advanced statistics with applications in R / | ENG 519.5 K623s 2003 Statistics for science and engineering | ENG 519.5 M565s 2019 Statistics in engineering : with examples in MATLAB and R / |
Includes index.
A gentle introduction -- Descriptive statistics: understanding distributions of numbers -- Statistical parameters: measures of central tendency and variation -- Standard scores, the z distribution, and hypothesis testing -- Inferential statistics: the controlled experiment, hypothesis testing, and the z distribution -- An introduction to correlation and regression -- the t test for independent groups -- The t test for dependent groups -- Analysis of variance (ANOVA): one-factor completely randomized design -- After a significant ANOVA: multiple comparison tests -- Analysis of variance (ANOVA): one-factor repeated-measures design -- Factorial ANOVA: two-factor completely randomized design -- Post hoc analysis of factorial ANOVA -- Factorial ANOVA: additional designs -- Nonparametric statistics: the chi-square test and other nonparametric tests -- Other statistical topics, parameters, and tests.
There are no comments on this title.