Introduction to Statistics an Active Learning Approach by Jennifer R. Winquist

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Características del artículo

Estado
En muy buen estado: Libro que se ha leído y que no tiene un aspecto nuevo, pero que está en un ...
Country of Origin
United States
Educational Level
Adult & Further Education
Features
Revised
ISBN
9781544375090
Categoría

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Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1544375093
ISBN-13
9781544375090
eBay Product ID (ePID)
12050374192

Product Key Features

Number of Pages
512 Pages
Publication Name
Introduction to Statistics : an Active Learning Approach
Language
English
Subject
Probability & Statistics / General, Statistics
Publication Year
2021
Type
Textbook
Subject Area
Mathematics, Social Science, Education, Psychology
Author
Jennifer R. Winquist, Kieth A. Carlson
Format
Trade Paperback

Dimensions

Item Height
1 in
Item Weight
28 Oz
Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Edition Number
3
Intended Audience
College Audience
LCCN
2020-036989
Dewey Edition
23
TitleLeading
An
Illustrated
Yes
Dewey Decimal
519.5
Table Of Content
PrefaceAcknowledgmentsAbout the AuthorsPart 1: Descriptive Statistics and Sampling ErrorChapter 1: Introduction to Statistics and Frequency Distributions How to Be Successful in This Course Math Skills Required in This Course Statistical Software Options Why Do You Have to Take Statistics? The Four Pillars of Scientific Reasoning Populations and Samples Independent and Dependent Variables Identify How a Variable Is Measured Graphing Data Shapes of Distributions Frequency Distribution TablesChapter 2: Central Tendency and Variability Frequency Distribution Graphs and Tables Central Tendency: Choosing Mean, Median, or Mode Computing Measures of Central Tendency Variability: Range or Standard Deviation Steps in Computing a Population's Standard Deviation Steps in Computing a Sample's Standard Deviation Constructing a Scientific ConclusionChapter 3: z scores Computing and Interpreting z for a Raw Score Finding Raw Score "Cut Lines" Finding the Probability of z Scores Using the Standard Normal Curve Positive z Score Example Negative z Score Example Proportion Between Two z Scores ExampleChapter 4: Sampling Error and Confidence Intervals with z and t Distributions Sampling and Sampling Error The Central Limit Theorem and the Standard Error of the Mean (SEM) Applying the SEM to Find Statistical EvidencePart 2: Applying the Four Pillars of Scientific Reasoning to Mean DifferencesChapter 5: Single sample t, effect sizes, and confidence intervals Four Pillars of Scientific Reasoning Apply the Four Pillars of Scientific Reasoning Construct a Well-Supported Scientific ConclusionChapter 6: Related samples t, effect sizes, and confidence intervals Related Samples t Test Logic of the Single Sample and Related Samples t Tests Apply the Four Pillars of Scientific Reasoning Construct a Well-Supported Scientific ConclusionChapter 7: Independent samples t, effect sizes, and confidence intervals When to Use the Three t Tests The t Test Logic and the Independent Samples t Formula Apply the Four Pillars of Scientific Reasoning Construct a Well-Supported Scientific Conclusion How to Interpret High p ValuesChapter 8: One-way ANOVA, effect sizes, and confidence intervals Independent Samples One-Way ANOVA Logic of the ANOVA Apply Four Pillars of Scientific ReasoningChapter 9: Two-way ANOVA, effect sizes, and confidence intervals Purpose of Two-Way ANOVA Logic of Two-Way ANOVA Apply Four Pillars of Scientific ReasoningPart 3: Applying the Four Pillars of Scientific Reasoning to AssociationsChapter 10: Correlations, effect sizes, and confidence intervals When to Use Correlations The Logic of Correlation Interpreting Correlation Coefficients Spearman's (rs) Correlation Correlation Does Not Equal Causation: True but Misleading Apply the Four Pillars of Scientific Reasoning Construct a Well-Supported Scientific ConclusionChapter 11: Chi square and effect sizes When to Use X2 Statistics Logic of the X2 Test Apply the Pillars of Scientific Reasoning Construct a Well-Supported Scientific Conclusion Apply the Pillars of Scientific Reasoning: X2 for Independence Appendices References Index
Synopsis
This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away., This updated and reorganized Third Edition of this textbook takes a workbook-style approach that encourages an active approach to learning statistics. Carefully placed reading questions throughout each chapter allow students to apply their knowledge right away, while in-depth activities based on current behavioral science scenarios, each with problem sets and quiz questions, give students the opportunity to assess their understanding of concepts while reading detailed explanations of more complex statistical concepts. Additional practice problems further solidify student learning. Most activities are self-correcting, so if a concept is misunderstood, this misunderstanding is corrected early in the learning process. After working through each chapter, students are far more likely to understand the material than when they only read the material.
LC Classification Number
HA29.C288 2022

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