Topic 05 · Statistics
Unit 3 · Topic 05 · Statistics
Statistics
Descriptive statistics, the normal distribution, and reading the graphs you run into in the news — plus a first pass at margin of error.
Lessons
6 lessons · each with a video, a worked example and practice-
3:20
Lesson 1: What statistics is, really.Two kinds of statistics. Descriptive describes the data we have; inferential makes claims about a population from a sample. Naming the difference is the move that makes the rest of the chapter make sense.
-
3:59
Lesson 2: Mean, median, mode.Three classic measures of center. Each one is a different answer to "where does this data sit?" Plus a powerful visual intuition: the mean is the value that balances the bars.
-
4:01
Lesson 3: Range and standard deviation.Center tells us where the data sit. Spread tells us how tightly. Range is the quick read; standard deviation is the precise one. Both set up the bell curve in Lesson 5.
-
3:49
Lesson 4: Reading data displays.Each chart type is built for a different question. The real skill is matching the chart to the question — and spotting the misleading ones — not memorizing each shape.
-
3:49
Lesson 5: The normal distribution and the empirical rule.A surprising amount of real-world data clusters into the same bell shape. The 68-95-99.7 rule names exactly how the data spreads around the mean — and powers ALEKS review Q5.
-
3:41
Lesson 6: Surveys and the margin of error.Every poll headline ("45%, ±3%") is one descriptive number, one inferential leap, and one confidence claim. The ± tells us how big the leap is.
Then
the rest of the week
Discussion
DQ 1: Discussion
Walkthrough, posting rhythm, and what the DQ is really asking.
Discussion
DQ 2: Discussion
Walkthrough, posting rhythm, and what the DQ is really asking.
6 questions
Review
Six worked questions to practice before ALEKS.
Self-check
Mastery Check
4 quick questions - 2 multiple choice, 2 calculations. Perfect score earns one substantive participation post.
What you'll learn
What you'll learn
- Differentiate between types of statistics.
- Apply statistics to solve problems.
- Use descriptive statistics and graphs to solve application problems.
- Decide if the normal distribution is an appropriate model for a given data set.
- Solve problems using the properties of the normal distribution.
- Interpret data from different types of graphs.
- Explain how standard deviation and margin of error relate to statistical surveys.