Statistics

Statistics: a gentle introduction

by Coolidge, Frederick L., (Frederick Lawrence)

Type Book
Rate 0.0 /5

This book explains the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and mak…

Read More ↓

Title Statements

  • Full title :Statistics : a gentle introduction / Frederick L. Coolidge.

Summary

This book explains the concepts of statistics in plain language first, before addressing the math. Each formula within the text has a step-by-step example to demonstrate the calculation so students can follow along. Only those formulas that are important for final calculations are included in the text so students can focus on the concepts, not the numbers. A wealth of real-world examples and applications gives a context for statistics in the real world and how it helps us solve problems and make informed choices.

Read More ↓

Edition Statements

  • Publication Date:©2021
  • Edition:Fourth edition

Publication Statements

The Physical Object

  • Description:1 online resource (xxiv, 512 pages) : : illustrations

Edition Identifiers

  • ISBN:9781506368412, 1506368417
  • oclc:on1345071661
  • LC Classification:QA276.12
  • Dewey Decimal:519.5

Table of Contents

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.

Read More ↓

Subjects

Writers

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.