Dr B's No Bull Guide
Dr B's No Bull Guide
to Applied Statistics 101
About the Book
Applied statistics comprises of descriptive statistics and the application of inferential statistics. This guide includes instructions for MS Excel 2010 or newer on MS Windows and a TI 83 or TI84 calculator.
Table of Contents

Introduction
 Populations and Samples
 Descriptive Statistics
 Inferential Statistics
 Summary

Variables
 Independent and Dependent Variables
 Quantitative Variables
 Qualitative Variables
 Comparing Quantitative & Qualitative Variables
 Levels of Measurement

Data Collection & Organization
 Research
 Conditions to Establish Causality
 Research Design
 Sampling
 Organizing Data

Descriptive Statistics  Numerical
 Univariate Descriptive Statistics
 Bivariate Descriptive Statistics
 Descriptive Statistics  Numerical Examples with MS Excel
 Descriptive Statistics  Numerical Examples with TI Calculator
 Descriptive Statistics  Numerical Examples Manually
 Descriptive Statistics  Numerical Examples with Python

Descriptive Statistics  Numerical Examples with SAS
 TBA

Descriptive Statistics  Visual
 Univariate Visual Displays
 Bivariate Visual Displays
 Descriptive Statistics  Visual Examples with MS Excel
 Descriptive Statistics  Visual Examples with TI Calculator

Descriptive Statistics  Visual Examples Manually
 TBA

Descriptive Statistics  Visual Examples with Python
 TBA

Descriptive Statistics  Visual Examples with SAS
 TBA
 Probability
 Probability Distributions

Discrete Probability Distributions
 Uniform Distribution
 Binomial Distribution
 Poisson Distribution

Continuous Probability Distributions
 Uniform Distribution
 Exponential Distribution
 Normal Distribution
 Student t Distribution
 ChiSquare Distribution
 F Distribution
 Binomial Approximations for Counts and Proportions

Continous Probability Distributions Examples with MS Excel
 Normal Distribution

Continuous Probability Distributions Examples with TI Calculator
 Normal Distribution

Continuous Probability Distributions Examples Manually
 Uniform Distribution
 Normal Distribution
 Inverse Normal Distribution

Sampling Distribution
 Central Limit Theorem for Mean
 Central Limit Theorem for Proportions
 Standard Deviation versus Standard Error
 Confidence Intervals

Confidence Intervals Examples with MS Excel
 Confidence Intervals for Unknown Population Mean and Known Population Standard Deviation
 Confidence Intervals for Unknown Population Mean and Unknown Population Standard Deviation
 Confidence Intervals for Unknown Population Proportion

Confidence Intervals Examples with TI Calculator
 Confidence Intervals for Unknown Population Mean with Known Population Standard Deviation
 Confidence Intervals for Unknown Population Mean with Unknown Population Standard Deviation
 Confidence Intervals for Unknown Population Proportion

Confidence Intervals Examples Computed Manually
 Confidence Intervals for Unknown Population Mean and Known Population Standard Deviation
 Confidence Intervals for Unknown Population Mean and Unknown Population Standard Deviation
 Confidence Intervals for Unknown Population Proportion

Null Hypothesis Significance Testing (NHST)
 Hypothesis Testing Steps
 One Sample Hypothesis Testing

One Sample Hypothesis Testing Examples Using MS Excel
 Onetailed Hypothesis testing for a mean (σ is known)
 Twotailed Hypothesis testing for a mean (σ is known)
 Twotailed Hypothesis testing for a mean (σ is not known)

One Sample Hypothesis Testing Examples Using TI Calculator
 Onetailed Hypothesis testing for a mean (σ is known)
 Twotailed Hypothesis testing for a mean (σ is known)
 Twotailed Hypothesis testing for a mean (σ is not known)

One Sample Hypothesis Testing Examples Manually
 TBA

Two Sample Hypothesis Testing
 Types
 Formulas

Two Sample Hypothesis Testing Examples Using MS Excel
 Independent (Unpaired) Samples
 Two independent proportions
 Dependent (Paired) Samples

Two Sample Hypothesis Testing Examples Using TI Calculator
 Independent (Unpaired) Samples
 Two independent proportions
 Dependent (Paired) Samples

Two Sample Hypothesis Testing Examples Manually
 Independent (Unpaired) populations, σ is unknown but assumed unequal
 Independent populations, σ is unknown but assumed equal
 Two independent proportions
 Analysis of Variance (ANOVA)
 Analysis of Variance (ANOVA) Example Using MS Excel
 Analysis of Variance (ANOVA) Example Using TI Calculator

Analysis of Variance (ANOVA) Example Manually
 TBA

Linear Regression
 LeastSquares Regression
 Model Evaluation Metrics
 Hypothesis Testing
 Residual Analysis
 Influential Observation
 Linear Regression Examples with MS Excel
 Linear Regression Examples with a TI Calculator

Linear Regression Examples Manually
 TBA
 ChiSquare Test for Independence

ChiSquare Test for Independence Examples with MS Excel
 TBA
 ChiSquare Test for Independence Examples with TI Calculator
 ChiSquare Test for Independence Examples Manually
 Glossary

Appendix
 Statistical Tables
 Adding the MS Excel Toolpak
 How to program INVT into the TI83/TI83 Plus Calculator
 References
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