Ch 1: Overview of Statistics Lesson Plans

About This Chapter

The Overview of Statistics chapter of this course is designed to help you plan and teach the fundamentals of gathering statistics in your classroom. The video lessons, quizzes and transcripts can easily be adapted to provide your lesson plans with engaging and dynamic educational content. Make planning your course easier by using our syllabus as a guide.

Weekly Syllabus

Below is a sample breakdown of the Overview of Statistics chapter into a 5-day school week. Based on the pace of your course, you may need to adapt the lesson plan to fit your needs.

DayTopicsKey Terms and Concepts Covered
Monday Descriptive and inferential statistics
Populations and samples
Parameters and statistics
Estimating a parameter
How descriptive and inferential statistics differ;
Definition of populations and samples and how they differ;
How parameters and statistics differ;
How to use statistics to estimate parameters, with examples
TuesdayQuantitative data
Categorical data
Discrete and continuous data
Nominal, ordinal, interval and ratio measurements
Definition and examples of quantitative data;
Definition and examples of categorical data;
Definitions of discrete and continuous data, how they differ;
Definition of nominal, ordinal, interval and ratio measurements, with examples
Wednesday Measuring the strength of a model through gathered data
Experiments and observational studies
Random selection and random allocation
How to prove a model through the use of data;
Definition and differences of experiments and observational studies;
How random allocation and random selection differ, advantages of each
ThursdayConvenience sampling in statistics
Design of randomized experiments
Analyzing and interpreting results from randomized experiments
Definition of convenience samples and its limitations;
Characteristics of a sound experiments;
How to interpret data from randomized experiments
Friday Confounding and bias in statistics
Bias in polls and surveys
Misleading use of statistics
Definition and examples of bias and confounding;
Definition of bias in polls and surveys, how to spot it, with examples;
Ways that statistics can be used to mislead

17 Lessons in Chapter 1: Overview of Statistics Lesson Plans
Test your knowledge with a 30-question chapter practice test
Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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Other Chapters

Other chapters within the Statistics 101 Syllabus Resource & Lesson Plans course

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