UNIT 1: Introduction to Statistics 1. Statistics How Statistics Work Introduction to Descriptive Statistics Variables Samples and Populations Sampling Error and Statistical Significance/Confidence Levels Types of Data Statistical Calculations UNIT 2: Sampling Technique 1. Sampling and Sampling Distributions 1. Sampling Methods Simple Random Sampling Systematic Sampling Random Sampling Sampling Distribution of the Mean Sampling from a Population Sampling Problem Interpretation of the Results UNIT 3: Data Collection and Analysis Statistical Method Data Collection Ways to Summarize Data Gathering and Coding Data Data Analysis The Process of Research in Science Research Method Data Quality Data Summarization UNIT 4: DATA PRESENTATION 1. Histograms and Other Distribution Graphs Different Types of Visualizing Information Using Graphs Graphical Presentation of Data UNIT 5: Frequency Distribution 1. Frequency Distribution Frequency Tables Constructing Frequency Distribution Table Constructing Cumulative Frequency Distribution Tables Class Intervals Constructing Frequency Distribution Tables for Large Numbers of Observations Relative Frequency and Percentage Frequency Constructing Relative Frequency and Percentage Frequency Tables UNIT 6: Measures of Central Tendency 1. Review of Subscripts and Summation Notation Measure of Central Tendency The Arithmetic Mean a. Mean Weighted Mean The Median The Mode Relationship Between the Mean, Median, and Mode Arithmetic Mean Weighted Arithmetic Mean UNIT 7: Measures of Variability 1. Measures of Variability Methodological Approach of Measures of Variability The Range The Variance and Standard Deviation The Sample Variance The Standard Error of a Mean Analysis of Variance (ANOVA) UNIT 8: Measures of Correlation 1. Statistical Inferences Involving linear regression and linear correlation Interpreting correlation Results Correlation Coefficient Results of linear Correlation Correlation and Regression Analysis Correlation Coefficient Mean UNIT 9: Testing of Hypothesis 1. Introduction to Hypothesis Testing Hypothesis Conducting a Hypothesis Testing Alternative Hypothesis Null Hypothesis Test Statistic Critical Value Significance Level Decision Conclusion Formulating Hypotheses Type of Tests Test Statistics One-Tailed and Two-Tailed Test Estimated standard Error of the Sample Mean Z-Distribution and T-Distribution Types of Errors for a Hypothesis Test Statistical Summary and Conclusion Formulating Hypotheses and Stating Conclusions Rejection and Acceptance Regions Rejection and Acceptance Curve Outline for Testing a Hypothesis Tests of Population Means using Large Samples Chi-Square The Logic of Chi-Square Chi-Square Distribution Contingency Table Expected Frequency Independence Test Observed Frequency Chi-Square Distribution Properties of the Chi-Square Single Population Variance Conditions for Testing Confidence Intervals Chi-Square Distribution curve Computation of the Chi-Squared Statistic Chi-Squared Distribution Table