Introductory Statistics Book

Features Introductory Statistics Book

Introductory Statistics TextBook by OpenStax plus MCQ, Essay Questions & Key TermsIntroductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering.
The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory.
Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.* Complete Textbook by OpenStax* Multiple Choices Questions (MCQ)* Essay Questions Flash Cards* Key-Terms Flash CardsPowered by https://www.jobilize.com/1.
Sampling and Data 1.1.
Definitions of Statistics, Probability, and Key Terms 1.2.
Data, Sampling, and Variation in Data and Sampling 1.3.
Frequency, Frequency Tables, and Levels of Measurement 1.4.
Experimental Design and Ethics 1.5.
Data Collection Experiment 1.6.
Sampling Experiment2.
Descriptive Statistics 2.1.
Stem-and-Leaf Graphs (Stemplots), Line Graphs, and Bar Graphs 2.2.
Histograms, Frequency Polygons, and Time Series Graphs 2.3.
Measures of the Location of the Data 2.4.
Box Plots 2.5.
Measures of the Center of the Data 2.6.
Skewness and the Mean, Median, and Mode 2.7.
Measures of the Spread of the Data 2.8.
Descriptive Statistics3.
Probability Topics 3.2.
Independent and Mutually Exclusive Events 3.3.
Two Basic Rules of Probability 3.4.
Contingency Tables 3.5.
Tree and Venn Diagrams 3.6.
Probability Topics4.
Discrete Random Variables 4.1.
Probability Distribution Function (PDF) for a Discrete Random Variable 4.2.
Mean or Expected Value and Standard Deviation 4.3.
Binomial Distribution 4.4.
Geometric Distribution 4.5.
Hypergeometric Distribution 4.6.
Poisson Distribution 4.7.
Discrete Distribution (Playing Card Experiment) 4.8.
Discrete Distribution (Lucky Dice Experiment)5.
Continuous Random Variables 5.1.
Continuous Probability Functions 5.2.
The Uniform Distribution 5.3.
The Exponential Distribution 5.4.
Continuous Distribution6.
The Normal Distribution 6.1.
The Standard Normal Distribution 6.2.
Using the Normal Distribution 6.3.
Normal Distribution (Lap Times) 6.4.
Normal Distribution (Pinkie Length)7.
The Central Limit Theorem 7.1.
The Central Limit Theorem for Sample Means (Averages) 7.2.
The Central Limit Theorem for Sums 7.3.
Using the Central Limit Theorem8.
Confidence Intervals 8.1.
A Single Population Mean using the Normal Distribution 8.2.
A Single Population Mean using the Student t Distribution 8.3.
A Population Proportion9.
Hypothesis Testing with One Sample 9.1.
Null and Alternative Hypotheses 9.2.
Outcomes and the Type I and Type II Errors 9.3.
Distribution Needed for Hypothesis Testing 9.4.
Rare Events, the Sample, Decision and Conclusion 9.5.
Additional Information and Full Hypothesis Test Examples 9.6.
Hypothesis Testing of a Single Mean and Single Proportion10.
Hypothesis Testing with Two Samples 10.1.
Two Population Means with Unknown Standard Deviations 10.2.
Two Population Means with Known Standard Deviations 10.3.
Comparing Two Independent Population Proportions 10.4.
Matched or Paired Samples 10.5.
Hypothesis Testing for Two Means and Two Proportions11.
The Chi-Square Distribution 11.2.
Goodness-of-Fit Test 11.3.
Test of Independence 11.4.
Test for Homogeneity 11.6.
Test of a Single Variance12.
Linear Regression and Correlation 12.1.
Linear Equations 12.2.
Scatter Plots 12.3.
The Regression Equation 12.4.
Testing the Significance of the Correlation Coefficient 12.5.
Prediction 12.6.
Outliers 12.7.
Regression (Distance from School) 12.8.
Regression (Textbook Cost) 12.9.
Regression (Fuel Efficiency)13.
F Distribution and One-Way ANOVA