The outline below lists all the lectures for Section 1 of the Aspire Mountain Academy course in elementary statistics.  Once the lecture video becomes available, the title will become a link to the video and a brief description will appear below the title.

Section 1 - Introduction to Statistics

Section 1.1  Statistics and Critical Thinking

Mini-Lecture Video 1.1.1: Introductory Vocabulary

This mini-lecture introduces some basic but important concepts in statistics, including the definition of statistics, data, population, census, and sample.

Mini-Lecture Video 1.1.2: Statistical Study Process

This mini-lecture explains the general steps that all statistical studies contain.

Mini-Lecture Video 1.1.3: Potential Pitfalls in Statistics Use – Part 1

This mini-lecture examines several pitfalls that ensnare many who encounter statistics, including misleading conclusions, small samples, missing data, loaded questions, order of questions, and non-response.

Mini-Lecture Video 1.1.4: Potential Pitfalls in Statistics Use – Part 2

This mini-lecture concludes the examination of pitfalls from the previous mini-lecture, including precision and accuracy in numbers and percentages, and provides an activity designed to reinforce learning from this and the previous mini-lecture.

Mini-Lecture Video 1.1.5: Potential Pitfalls in Statistics Use – Exercises

This mini-lecture provides additional practice distinguishing the potential pitfalls in statistical studies.

Mini-Lecture Video 1.1.6: Percentages

This mini-lecture reviews how to calculate percentages and then provides some examples designed to allow the student to practice calculating percentages as well as using some critical thinking skills.

Mini-Lecture Video 1.1.7: Percentages – Exercises

This mini-lecture provides additional practice calculating percentages and using some critical thinking skills.

Section 1.2  Types of Data

Lecture Video 1.2.1: Parameters and Statistics

This mini-lecture explains the difference between parameters and statistics and then provides an activity to help students reinforce their learning about parameters and statistics.

Lecture Video 1.2.2: Parameters and Statistics – Exercises

This mini-lecture provides additional practice distinguishing between parameters and statistics.

Lecture Video 1.2.3: Quantitative Data

This mini-lecture defines quantitative data, explains the difference between discrete and continuous data, and provides students with and activity to practice using these concepts.

Lecture Video 1.2.4: Quantitative Data – Exercises

This mini-lecture provides additional practice distinguishing between discrete and continuous data.

Lecture Video 1.2.5: Categorical Data

This mini-lecture defines categorical data and provides students with and activity to practice distinguishing between quantitative and categorical data.

Lecture Video 1.2.6: Levels of Measurement

This mini-lecture describes the different levels of measurement (nominal, ordinal, interval, and ratio).

Lecture Video 1.2.7: Levels of Measurement – Exercises (Part 1)

This mini-lecture provides practice distinguishing between the different levels of measurement.

Lecture Video 1.2.8: Levels of Measurement– Exercises (Part 2)

This mini-lecture provides additional practice distinguishing between the different levels of measurement.

Section 1.3  Collecting Sample Data

Lecture Video 1.3.1: Types of Statistical Studies

This mini-lecture introduces the two types of statistical studies (observational studies and experiments) and then provides an activity through which students can practice distinguishing between the two types.

Lecture Video 1.3.2: Simple Random Samples

This mini-lecture introduces sampling methods by defining random samples and, in particular, simple random samples.

Lecture Video 1.3.3: Sampling Methods

This mini-lecture defines sampling methods other than random sampling (including systematic sampling, stratified sampling, cluster sampling, and multistage sampling) and then provides students an activity to practice what they learn.

Lecture Video 1.3.4: Sampling Methods – Exercises

This mini-lecture provides additional practice distinguishing between the different sampling methods.  The mini-lecture then concludes with an additional activity connecting the types of statistical studies with the different sampling methods.

Lecture Video 1.3.5: Statistical Study Design – Observational Studies

This mini-lecture explains the differences between the different types of observational studies (cross-sectional studies, retrospective studies, and prospective studies) and provides a brief activity for students to practice what they learn.

Lecture Video 1.3.6: Statistical Study Design – Experiments

This mini-lecture describes the three aspects of good statistical experiments (randomization, replication, and blinding) and then provides a brief activity for students to practice what they learn.

Lecture Video 1.3.7: Statistical Experiment Design Tips

This mini-lecture discusses the importance of avoiding confounding and minimizing experimental error, including sampling error, non-sampling error, and non-random sampling error.
More video titles are on the way.  Your patience is appreciated.