About This Chapter
Below is a sample breakdown of the Data, Statistics & Probability 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.
|Day||Topics||Key Terms and Concepts Covered|
|Monday||Probability of independent and dependent events||Effect on subsequent events, probability, rolling dice|
|Tuesday||Calculating mean, median, mode and range||Measures of central tendencies, average, middle number, outliers, most popular choice|
|Wednesday||T-Tests||Comparing two means, types of t-tests|
|Thursday||Tables and schedules||Data organization, rows and columns, times and events|
|Friday||Bar graphs and pie charts||Amounts or frequency of occurrence, axes, range of values, intervals, circular graphs, sectors|
1. Probability of Independent and Dependent Events
Sometimes probabilities need to be calculated when more than one event occurs. These types of compound events are called independent and dependent events. Through this lesson, we will look at some real-world examples of how to calculate these probabilities.
2. How to Calculate Mean, Median, Mode & Range
Measures of central tendency can provide valuable information about a set of data. In this lesson, explore how to calculate the mean, median, mode and range of any given data set.
3. Organizing and Understanding Data with Tables & Schedules
In math, when we have to deal with a lot of data, having a visual format to present all the data becomes very useful. Watch this video lesson to learn how you can take advantage of two of these visual formats.
4. Understanding Bar Graphs and Pie Charts
In this lesson, we will examine two of the most widely used types of graphs: bar graphs and pie charts. These two graphs can provide the reader with a comparison of the different data that is displayed.
5. What Is a T-Test? - Procedure, Interpretation & Examples
T-tests are used to compare two means to assess whether they are from the same population. T-tests presume that both groups are normally distributed and have relatively equal variances. The t-statistic is distributed on a curve that is based on the number of degrees of freedom (df). There are three kinds of t-tests: independent-samples, paired-samples, and one-sample.
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Other chapters within the Algebra I Curriculum Resource & Lesson Plans course
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