Essential Statistics ebook PDF Download

 Introduction

The book Essential Statistics is a significant and prominent guide for the complex world of statistics. However, David S Moore elaborates the over features and aspects of this book in a wide spread manner. Now, the readers can easily access and understand its concepts and methods. In this review I will define its basic practice of statistics, teachings, characteristics and key features that can persuade a huge number of readers worldwide.

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Book	Essential Statistics
Publisher	Macmillan Higher Education
Author	David S Moore
Publication Data	2021
Language	English
Pages	57
Size	7.9 MB

Summary

The author defines the concepts and advanced methods in a short but detailed way. Moreover, it is a small book but it covers all aspects and features related to statistics. As like the other books of the writer, it also serve as an essential campaign for everyone who love to read statistics books.

Furthermore, this book covers all essential topics including probability, testing ideas and knowing patterns in statistics. The author ways of expressing and presenting items are easy to access and understand. Moreover, the writer also uses various fun examples and exercises to assist the readers in an accurate manner.

Chapters Summary

The followings are the chapters and topics that Essential Statistics contains:

Chapter one

Overview of Statistics:

• Statistics and its role in data analysis.

• Significance of statistics in different fields.

• Practical applications of statistics.

• Statistical Challenges.

• Writing and presenting Statistical reports.

• Interpreting Statistical Data.

• New challenges and advanced Technologies.

• Chapter Summary.

• Chapter Exercises.

Chapter Two

Data Collection:

• Definition of Data Collection.

• Level of measurement.

• Uses and Differences between Time Series and Cross-Sectional Data.

• Basic Concepts of Sampling.

• Sampling Methods.

• Concepts of Sampling.

• Data Collecting Sources.

• Survey Research.

• Chapter Summary.

• Chapter Exercises.

Chapter Three

Describing Data Visually:

• Importance of visual representation in data analysis.

• Dot Plots and Data distribution.

• Description of Frequency Distributions and Histograms.

• Uses and Changes Line Charts.

• Bar Charts.

• Use of scatter plots.

• Usage of Tables to present a Data.

• Usage of Pai Charts.

• Tips on creating Effective Excel Charts.

• Deceptive practices in data visualization.

• Chapter Summary.

• Chapter Exercises.

Chapter Four

Descriptive Statistics:

• Introduction of numerical methods.

• Explanation of measures.

• Discussion on measures.

• Definition of Standardizing Data and its Importance.

• Introduction to Percentiles, Quartiles, and Box Plots.

• Explanation of Correlation.

• Chapter Summary.

• Chapter Exercises.

Chapter Five

Probability:

• Introduction to the concept of random experiments and their outcomes.

•  Explanation of probability.

• Basic rules of probability.

• Elaboration of independent events.

• Introduction to contingency tables and their use in calculating probabilities of events.

• Explanation of counting rules.

• Chapter Summary.

• Chapter Exercises.

Chapter Six

Discrete Probability Distributions:

• Introduces the concept of discrete probability distributions and their characteristics.

• Elaboration of uniform distribution.

• Bernoulli Distribution.

• Explanation of the binomial distribution.

• Introduces the Poisson distribution.

Chapter Seven

Continuous Probability Distributions:

• Introduces continuous distributions and their characteristics

• Elaboration of the uniform continuous distribution.

•  Discusses the normal distribution.

• Introduces the standard normal distribution.

• Exploration of the use of the normal distribution.

• Introduces the exponential distribution.

Chapter Eight

Sampling Distributions and Estimation:

• Introduction and concept of sampling variation and its importance.

• Estimators and Sampling Distributions.

• Sample Mean and the Central Limit Theorem.

• Description of Confidence Interval for a Mean (μ) with Known σ.

• Introduces the construction of confidence intervals for population proportions.

• Explanation of Sample Size Determination for a Mean.

• determination of sample size and its needs.

Chapter Nine

One-Sample Hypothesis Tests:

• Introduces the basic concepts of hypothesis testing.

• Elaboration of general process of conducting hypothesis tests.

• Testing a Mean: Known Population Variance.

• Testing a Proportion.

Chapter Ten

Two-Sample Hypothesis Tests:

• Introduction of the concept of two-sample hypothesis tests.

• Comparing Two Means: Independent Samples.

• Introduces hypothesis testing for comparing two population proportions, using the z-test for proportions.

• Comparing Two Variances.

Chapter Eleven

Analysis of Variance:

• Introduces the concept of ANOVA and its use in comparing means of multiple groups.

• One-Factor ANOVA (Completely Randomized Model).

• methods for comparing pairs of group means after ANOVA.

• Tests for Homogeneity of Variances.

Chapter Twelve

Simple Regression:

• Methods for  Visual Displays and Correlation Analysis.

• Description of simple linear regression model.

• Key terms used in regression analysis.

• Ordinary Least Squares Formulas.

• Tests for Significance.

• Use of analysis of variance.

• Confidence and Prediction Intervals for Y.

• Violations of the assumptions of the simple linear regression model and their implications.

• Identify and deal with unusual observations.

•  Introduces other types of regression problems.

Chapter Thirteen

Multiple Regression:

• Introduces the concept of multiple regression.

• Discusses methods for assessing the overall fit.

• Predictor Significance.

• Describes how to construct confidence intervals for the mean response in multiple regression.

• Binary Predictors.

• Concept of multicollinearity.

• Discusses common violations of the assumptions of multiple regression and their implications.

• Explores other topics related to multiple regression, such as interaction effects and nonlinear relationships.

• Chi-Square Test for Independence.

• Introduces Chi-Square tests for determining if observed categorical data fit a specific distribution or expected frequencies.

Narrating Style of Author

David S Moore ways of writing in his book Essential Statistic is easy to access and understand. However, he defines the whole concepts and core ideas in an accessible way that can persuade a huge number of readers worldwide. He also uses smart words and language to balance the pace and to plot-lines.

The author encourages the readers to think critically and allow them to come up with their own predictions about the future of this book. Additionally, he avoids complicated vocabularies and extra jargon’s, aimed to convey his messages in an easy manner.

Significant Apparitions

 The book Essential Statistic received generally positive comments and reviews from its readers since its publication. This book was venerated for its engaging writing style, in-depth concepts and attractive plot-lines. While this book received 4.7 out of 5 stars from Amazon and Goodreads. Moreover, it sold millions of copies upon its release and it also has been translated into different other languages worldwide.

Connection between Statistics and Life

• Statistics plays a vital role in our daily lives. We can understand data and make various prominent decisions with the help of statistics. Moreover, it also assist us to learning about trends, identifying patterns and reliable forecasts.whether you are a businessman or a student of social science  Statistics provides all things you need.

Major Areas of Statistics

Statistics has two maor areas.

Descriptive Statistics

• Descriptive Statistics contains various numbers which defines and summarize the data. Moreover, these numbers assist us to understand the main characteristics and features of dataset. Mean, Median, Mode, Range, Standard Deviation and Percentile are some common ones.

Inferential Statistics

• Inferential Statistics assists us to make guesses for different big group. Moreover, we can also say that it helps us to make a good guess about the whole group based on a smaller sample. It involves techniques like hypothesis testing, confidence intervals, and regression analysis.

Uses of Essential Statistics

Knowing Tendency

•  It helps us to find different patterns and trend things like sales, weather, or health data.

Making Better Decisions

• You can make various better decisions through analyzing data for your business and government etc.

Contrast Different Things

• Through Statistics we can compare various groups and situations.

Indicate Outcome

• We can find our future outcomes through analyzing the past data.

 Detective Tool.

• It helps us to check our ideas (hypotheses) by looking at evidence from experiments.

Key Features of Essential Statistics

Essential Statistic has the following Key Features.

Comprehensiveness

• Essential Statistic provides a huge number of statistical ideas and concepts in a simple but detailed way. However, this book is easy to understand and access. All kind of readers can read it without facing irrelevant details.

Accessible

• The writer of this book uses simple words and language, aimed to convey his core ideas in an easy manner. It teaches the readers about various important ideas and methods of statistics by using clear examples and practice questions in each chapter.

Usefulness

• It explains how statistics can be used in real job and situation. On this way, the author of this book defines several examples which show how it performs in industries and other jobs.

Understandable

• David S Moore ways of writing style is descriptive and easy to understand. He does not use complex language and words throughout the book. So, all kind of students and other professionals can easily get its tricky ideas and concepts.

Additional Resources

• The audiences can avail its several online tools, extra practice questions and other resources for teachers. However, these extra resources can enhance the interest and understanding level of all kind readers. Whether you are in class or in home, this book provides all items you need to learn.

Conclusion

 Essential Statistics is really a helpful guide for learning statistics in an accurate manner. Moreover, this guide is easy to read and access. It defines whole things including the usage of statistics in real life. Whether you know some how about statistics or just starter,  Essential Statistics can be a better choice for your. After all, this book is suitable for students, teachers and other professionals. I recommend it to all of them who love to read book related to statistics.

FAQs

What are the field of statistics?

There are two types of statistics, Descriptive Statistics and Inferential Statistics.

What are the applications of statistics?

The applications of statistics psychology, geology, sociology, weather forecasting, probability.

Who is the father of statistics?

Sir Ronald Aylmer Fisher is the father of statistics.

Who invented probability?

Girolamo Cardano invented probability.

What is the origin of statistics?

Ancient civilizations such as Babylon, Egypt, and Rome.