About This Chapter
Statistics & Probability Basics - Chapter Summary
The lessons in this chapter provide an overview of statistics and probability basics. You will review experimental probability and the process for creating histograms. Included in this chapter are lessons on how to find the probability of compound events. After completing the chapter, you should be prepared to:
- Use visual representations to understand data
- Interpret bar graphs and pie charts
- Provide examples of histograms and box plots
- Create frequency distributions
- Calculate mean, median, mode, and range
- Discuss when to use representative, random, and biased samples
- Find mean, median, and mode on a frequency table
- Calculate the probability of independent events
Each lesson on our mobile-friendly learning platform comes with a brief quiz to ascertain how much of the content you can recall. You get to decide which lessons you want to review and you can also study offline by printing the quiz in worksheet form.
1. Visual Representations of a Data Set: Shape, Symmetry & Skewness
Visual representations are a fantastic way of understanding and analyzing your data. Use this lesson to understand the characteristics of visual representations of data.
2. 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.
3. Creating & Interpreting Histograms: Process & Examples
Creating histograms can help you easily identify and interpret data. This lesson will give you several examples to better understand histograms and how to create them.
4. Creating & Interpreting Box Plots: Process & Examples
Box plots are an essential tool in statistical analysis. This lesson will help you create a box plot and understand its meaning. When you are finished, test your understanding with a short quiz!
5. Frequency Distributions: Definition & Types
This lesson explores the process of creating frequency distributions and histograms to give readers of your future scientific articles a numerical or visual way to understand the data you have presented.
6. 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.
7. Samples: Representative, Random & Biased
When conducting statistical research, a great deal of importance hinges on the type of sample you use. In this lesson, we will learn about representative, random, and biased samples, as well as which is best for what situation.
8. Finding Mean, Median & Mode on a Frequency Table
Many times when you are dealing with statistical data, it will be presented in the form of a frequency table. As you'll see in this lesson, frequency tables often take much of the hard work out of analyzing a data set.
9. Introduction to Probability: Formula & Examples
Ever taken a chance on something? Before you took that chance, did you want to know what your chances were on actually winning? Then you were dealing with probability, the likelihood that a specific event will occur.
10. 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.
11. Probability of Compound Events: Definition & Examples
Determining the probability of compound events involves finding the probability of each event and then determining how to combine them. This lesson will give you the tools to find the probability and finish with a quiz to cement your knowledge.
12. Experimental Probability: Definition & Predictions
In this lesson, you're going to learn about the concept of experimental probability and apply it to coins, dice, a deck of cards, and even real world scenarios.
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