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Stats lectures that help you learn (and smile a bit as well)

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

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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.
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Mini-Lecture Video 1.1.2: Statistical Study Process

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

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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.
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Lecture Video 1.2.2: Parameters and Statistics – Exercises

This mini-lecture provides additional practice distinguishing between parameters and statistics.
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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.
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Lecture Video 1.2.4: Quantitative Data – Exercises

This mini-lecture provides additional practice distinguishing between discrete and continuous data.
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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.
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Lecture Video 1.2.6: Levels of Measurement

This mini-lecture describes the different levels of measurement (nominal, ordinal, interval, and ratio).
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Lecture Video 1.2.7: Levels of Measurement – Exercises (Part 1)

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

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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.
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Lecture Video 1.3.2: Simple Random Samples

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

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