About This Chapter
Algebra II: Statistics - Chapter Summary and Learning Objectives
Our chapter on statistics can introduce you to several different statistical dispersion terms, including the mean, median, mode and range. You'll also learn about important measures of distribution and the properties of the normal curve. Practice examples can show you how to organize and read data presented on charts, graphs and tables. Upon completion of the chapter, you should have a good understanding of the following subjects:
- Mean, median, mode and range
- Variability and skewness
- Normal distribution
- Regression analysis
- Statistical data organization and interpretation
|How to Calculate Mean, Median, Mode and Range||Demonstrate how to calculate the mean, median, mode and range of sets of numbers.|
|Measures of Dispersion: Variability and Skewness||Describe different measures of statistical dispersion in terms of their variability and skewness.|
|Normal Distribution: Properties of the Normal Curve||Comprehend normal distribution patterns and the basic properties of a normal curve.|
|Regression Analysis: Definition and Examples||Define regression analysis, giving examples.|
|Organizing and Understanding Data with Tables and Schedules||Understand how to read and analyze the data on tables and schedules.|
|Understanding Bar Graphs and Pie Charts||Know how to examine and interpret pie charts, columns and bar graphs.|
1. 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.
2. Measures of Dispersion and Skewness
Watch this video lesson to learn how you can describe your data using two different statistical characteristics. Learn what it means for your graph to have variability and what it means for your graph to be skewed.
3. Normal Distribution: Definition, Properties, Characteristics & Example
In this lesson, we will look at the Normal Distribution, more commonly known as the Bell Curve. We'll look at some of its fascinating properties and learn why it is one of the most important distributions in the study of data.
4. Regression Analysis: Definition & Examples
Watch this video lesson to learn about regression analysis and how you can use it to help you analyze and better understand data that you receive from surveys or observations. Learn what is involved in regression analysis and what to look out for.
5. 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.
6. 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.
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Other chapters within the Algebra II: High School course
- Algebra II: Real Numbers
- Algebra II: Complex and Imaginary Numbers Review
- Algebra II: Exponents and Exponential Expressions Review
- Algebra II: Properties of Functions Review
- Algebra II: Linear Equations Review
- Algebra II: Systems of Linear Equations
- Algebra II: Inequalities Review
- Algebra II: Absolute Value Review
- Algebra II: Graphing and Factoring Quadratic Equations Review
- Algebra II: Quadratic Equations
- Algebra II: Factoring
- Algebra II: Polynomials
- Algebra II: Rational Expressions
- Algebra II: Graphing and Functions
- Algebra II: Conic Sections
- Algebra II: Roots and Radical Expressions Review
- Algebra II: Exponential and Logarithmic Functions
- Algebra II: Sequences & Series
- Algebra II: Combinatorics
- Algebra II: Calculations, Ratios, Percent & Proportions Review
- Algebra II: Trigonometry
- Teacher Resources for High School Algebra II