Statistics & Probability Bit By Bit - Part 1 of 5: Introduction To Statistics Live Class

Welcome to Statistics and Probability bit by bit.

This is Part 1 of the 6 part series. Each part runs for 4-5 weeks and addresses a specific coherent set of topics in statistics and probability.
Part 1 (i.e. this class) introduces students to Statistics in 4 weeks.  Below is the class description.

I have divided the class content among the 5 parts, each covering part of Statistics and Probability.  By the time students have completed the six classes, students will have covered a lot of ground that spans elementary, middle, high school as well as college level statistics and probability requirements.

Each bit (mini course) ranges between 4 weeks to 5 weeks in length and builds on the bits that came before it.
Practice and experimentation and some homework are expected.
 
The class is suitable for middle, and high school students.  
 
Teaching each topic listed in the syllabus goes through these 3 steps (What to expect each week)
- Day 1: Explain a major topic from the syllabus side by side with helper examples to help demonstrate the concepts.
- Day 2: Summarize prior day topic and show types of questions and approach/steps for solving them + in class practice.
- Day 3: In Class Competition (Jeopardy style) + Prizes to winners.
         Competition performance counts as that of a quiz with grades being assigned to students according to their scores.

>>Part 1: Introduction To Statistics: Sampling, Data, & Descriptive  Statistics << This class
-Sampling and Data
Introduction
Definitions of Statistics and Probability
Data, Sampling, and Variation in Data and Sampling
Frequency and Frequency Tables 
Experimental Design and Ethics
Data Collection Experiment
Sampling Experiment

-Descriptive Statistics
Introduction
Stem-and-Leaf Graphs (Stem plots), Line Graphs, and Bar Graphs
Histograms, Frequency Polygons, and Time Series Graphs
Measures of the Location of the Data (quartile, percentile)
Box Plots
Measures of the Center of the Data (mean, median, and mode)
Skewness and the Mean, Median, and Mode
Measures of the Spread of the Data (deviation , variance, standard deviation)