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Statistical Concepts - A First Course

Debbie L. Hahs-Vaughn
€192.20
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A01=Debbie L. Hahs-Vaughn
Alpha Level
ANCVA
ANOVA
Author_Debbie L. Hahs-Vaughn
Category=JMB
Category=JNM
Category=PBT
Chi Square Distribution
CI
correlation coefficients
Covariance
Cramer's Phi
Cramer’s Phi
Cumulative Frequency Polygon
Cumulative Relative Frequency
Cumulative Relative Frequency Distribution
Current GPA
data visualization techniques
descriptive statistics
Dialog Box
Directional Alternative Hypotheses
Effect Size Indices
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eq_isMigrated=2
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Fixed Effects Model
Frequency Polygon
G*Power
GPA
Inferential Test
introductory statistics for behavioral sciences
Left Tailed Test
Levene's Test
Levene’s Test
Linear Modeling
Logistical Regression
Mann Whitney Wilcoxon Test
Multiple Regression
Nondirectional Alternative Hypothesis
normal curve analysis
normal distribution
Null Hypothesis
One-Facotr Analysis
Percentile Rank
Post Hoc Power
probability
Quantitative Methods
R
Research Methods
Sampling Distribution
sampling distributions
Significance Test
Simple Linear Regression
Simple Random Sampling
SPSS
standard scores
Statistical Analysis
Statistics
t test applications
Top Pulldown Menu
Unit Normal Distribution
variance analysis methods
Variance Models
variances

Product details

  • ISBN 9780367203962
  • Weight: 1000g
  • Dimensions: 178 x 254mm
  • Publication Date: 31 Jan 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Description

Statistical Concepts—A First Course presents the first 10 chapters from An Introduction to Statistical Concepts, Fourth Edition. Designed for first and lower-level statistics courses, this book communicates a conceptual, intuitive understanding of statistics that does not assume extensive or recent training in mathematics and only requires a rudimentary knowledge of algebra.

Covering the most basic statistical concepts, this book is designed to help readers really understand statistical concepts, in what situations they can be applied, and how to apply them to data. Specifically, the text covers basic descriptive statistics, including ways of representing data graphically, statistical measures that describe a set of data, the normal distribution and other types of standard scores, and an introduction to probability and sampling. The remainder of the text covers various inferential tests, including those involving tests of means (e.g., t tests), proportions, variances, and correlations.

Providing accessible and comprehensive coverage of topics suitable for an undergraduate or graduate course in statistics, this book is an invaluable resource for students undertaking an introductory course in statistics in any number of social science and behavioral science disciplines.
About Debbie L. Hahs-Vaughn

Debbie L. Hahs-Vaughn is Professor of Methodology, Measurement, and Analysis at the University of Central Florida, US. Her research primarily relates to methodological issues when analyzing, and applied research using, complex sample data.

Richard G. Lomax is Professor Emeritus of Educational and Human Ecology at the Ohio State University, US, and former Associate Dean for Research and Administration. His research primarily focuses on early literacy and statistics.

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