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Statistics Book Summary: Tokunaga's Fundamental Statistics

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CHAPTER WISE BOOK SUMMARY
"Fundamental Statistics for the Social and Behavioral Sciences" (2nd Edition) by Howard T.
Tokunaga is a comprehensive textbook that integrates statistical methods within the
research process, emphasizing both calculation and interpretation of statistical analyses.
Below is a chapter-wise summary of the book:
1. Introduction to Statistics: Discusses the role of statistics in research, the
importance of statistical literacy, and outlines the stages of the research process.
2. Examining Data: Tables and Figures: Covers methods for organizing and
presenting data using tables and graphical representations, highlighting the
importance of data examination.
3. Measures of Central Tendency: Introduces the mode, median, and mean as
measures to summarize data, and compares their applications and limitations.
4. Measures of Variability: Explores the range, interquartile range, variance, and
standard deviation as metrics to assess data dispersion.
5. Normal Distributions: Examines the properties of normal distributions, standard
normal distribution, and the application of z-scores.
6. Probability and Introduction to Hypothesis Testing: Introduces basic probability
concepts and the foundational principles of hypothesis testing.
7. Testing One Sample Mean: Discusses the sampling distribution of the mean and
methods for testing hypotheses about a single sample mean.
8. Estimating the Mean of a Population: Focuses on constructing confidence intervals
to estimate population means and factors influencing their width.
9. Testing the Difference Between Two Means: Explores techniques for comparing
means from two samples, including independent and paired samples.
10. Errors in Hypothesis Testing, Statistical Power, and Effect Size: Addresses Type
I and Type II errors, the concept of statistical power, and measures of effect size.
11. One-Way Analysis of Variance (ANOVA): Introduces ANOVA for comparing means
across multiple groups and discusses post-hoc analyses.
12. Two-Way Analysis of Variance (ANOVA): Examines factorial research designs and
the analysis of interactions between two independent variables.
13. Correlation and Linear Regression: Explores the relationship between variables
using correlation coefficients and introduces linear regression analysis.
14. Multiple Regression and Multiple Correlation: Expands on regression analysis to
include multiple predictors and discusses the interpretation of multiple correlation
coefficients.
15. Chi-Square Tests: Covers chi-square tests for independence and goodness-of-fit,
used for analyzing categorical data.
Each chapter integrates real-world research examples, reinforcing the application of
statistical procedures to test research questions and hypotheses
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cheap price for instant download. If you
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downloads, please contact us via email or
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services.")
Do you need the best quality, organic,and
plagiarism-free assignments, and dissertation
help without using AI tools? I am a UK-based
professional researcher and tutor. I have been
consulting and tutoring for more than 14 years
in dissertations, essay help, reports, and other
assignments.
SERVICES OFFERED
We are accepting a variety of projects. Some
of the projects we have engaged in the past
but not limited to;
- Assignments
- Essay help
- Report
- Dissertation consulting
- Research proposal
- Literature review
- Business plan
- Case study analysis
- Annotated bibliography
- PowerPoint presentation and oral script
- Proofreading and editing work
- Statistical Analysis Help & Tutoring Services
(SPSS, Stata, R, EViews)
Whatsapp link: https://wa.me/+447507735190
Email: etutorsource@gmail.com
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