Title: Introduction to Basic Statistics Training

I. Understanding the Fundamentals of Statistics A. Definition and Importance of Statistics B. Descriptive vs. Inferential Statistics C. Populations and Samples D. Variables and Data Types

Resources:

1. Khan Academy - Introduction to Statistics
2. Statistics.com - What Is Statistics?

II. Descriptive Statistics A. Measures of Central Tendency

1. Mean
2. Median
3. Mode B. Measures of Variability
4. Range
5. Variance
6. Standard Deviation C. Quartiles and Percentiles D. Skewness and Kurtosis

Resources:

1. Statistics How To - Descriptive Statistics

III. Data Visualization A. Histograms B. Box Plots C. Scatterplots D. Bar Charts and Pie Charts E. Introduction to Data Visualization Tools (Excel, R, Python, etc.)

Resources:

1. DataCamp - Data Visualization with Python
2. ggplot2 - Data Visualization in R

IV. Probability Theory A. Basic Probability Concepts B. Probability Distributions

1. Discrete (e.g., Binomial, Poisson)
2. Continuous (e.g., Normal, Exponential) C. Conditional Probability D. Bayes' Theorem

Resources:

1. Khan Academy - Probability and Statistics

V. Sampling and Sampling Distributions A. Simple Random Sampling B. Sampling Methods C. Central Limit Theorem D. Standard Error

Resources:

1. University of Washington - Sampling and Survey Methods

VI. Inferential Statistics A. Confidence Intervals B. Hypothesis Testing C. Types of Errors (Type I and Type II) D. P-values and Significance Levels