Statistics Home: Tony's Research version 2.0                   Introduction:                    Introduction - Online Textbook - Streamed Lectures - Statistical Software Tutorial -                    Interactive Workshops   - Table of Content  - Sampling Theory

Chapter 1: Scales of Measurement                   Introduction  - Variables - Scales of Measurements - Summation Notation

Chapter 2: Central  Tendency (mean, median, mode) - Frequency Distribution (frequency and cumulative                  distributions) - percentile - median from frequency distribution - mean from frequency distribution -                  Stem and Leaf Display

Chapter 3: Variability: range - semi-Interquartile range - deviation - sum of square deviation - variance -                  standard deviation - standard deviation from frequency distribution - factors affecting variance                  and the standard deviation  - Boxplot - Outlier

Chapter 4: Normal Distribution: Standard Scores: z-score - the standardized distribution - SPSS z-score procedure                  Stats4U z-score procedure - other standard scores - Normal Curve: - standard normal distribution -                  probability and the normal distribution - the standard normal distribution - percent rank - percentile

Chapter 5: Correlation: Overview - Pearson correlation coefficient (product-moment correlation) - covariance -                  computing Pearson r - significance of r - factors affecting correlation - Spearman rank correlation -                  coefficient of determination

Chapter 6: Introduction to Hypothesis Testing: acceptance criterion - level of significance - one- and totaled                  tests - type I and type II errors - effect size - steps in hypothesis testing - hypothesis testing worksheet -                  the null hypothesis and other hypotheses - One-Sample Mean (sigma known) - sampling distribution -                  standard error - p-value - One-Sample Mean (sigma unknown) - t-distribution - degree of freedom -                  hypothesis testing: one-sample case for the mean

Chapter 7: One-Sample Correlation Testing (rho = 0): correlation critical value approach - t distribution critical                  value approach - p value approach - Fisher's Z transformation of r - confidence interval approach -                  One-Sample Correlation Testing (rho = a): Fisher's Z transformation - critical value approach -                  confidence interval approach

Chapter 8: Two-Sample Test for Mean: Introduction to Two-Sample Hypothesis Testing - degrees of freedom -                  Test for homogeneity of variance - Two Independent Samples with Homogeneous Variances - effect size                  and r square - Two Independent Samples with non-homogeneous Variances -

Reference  -  Chapter Exercises  - Answer Key  - Index

Appendices: A Statistical Tables  - B Formula Summary - C Symbols and Notations - D Dataset -                  E APA Style: Reporting Statistical Results