About This Chapter
How It Works:
- Identify the lessons in the OUP Statistical Applications chapter with which you need help.
- Find the corresponding video lessons with this companion course chapter.
- Watch fun videos that cover the statistical applications topics you need to learn or review.
- Complete the quizzes to test your understanding.
- If you need additional help, rewatch the videos until you've mastered the material or submit a question for one of our instructors.
You'll learn all of the math topics covered in the textbook chapter, including:
- Properties and use of normal distribution
- Inverse normal probability calculations
- Bivariate data
- Simple linear regression
- The raw score method
- Interpreting slope and intercept
- The chi-square test
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1. 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.
2. Using the Normal Distribution: Practice Problems
In this lesson, we will put the normal distribution to work by solving a few practice problems that help us to really master all that the distribution, as well as Z-Scores, have to offer. Review the concepts with a short quiz at the end.
3. How to Perform Inverse Normal Probability Calculations
The normal probability density function, the bell-shaped curve, is amazingly useful for explaining random events. In this lesson, we show how to invert this function using a table to calculate intervals corresponding to given probabilities.
4. What is Bivariate Data? - Definition & Examples
In this lesson, you will be learning about the definition and uses of bivariate data. We will also compare and contrast the characteristics of univariate data and bivariate data.
5. Creating & Interpreting Scatterplots: Process & Examples
Scatterplots are a great visual representation of two sets of data. In this lesson, you will learn how to interpret bivariate data to create scatterplots and understand the relationship between the two variables.
6. Simple Linear Regression: Definition, Formula & Examples
Simple linear regression is a great way to make observations and interpret data. In this lesson, you will learn to find the regression line of a set of data using a ruler and a graphing calculator.
7. Using the Raw Score Method to Compute the Correlation Coefficient
This lesson looks at the mathematical steps involved in computing a correlation coefficient by using raw scores. We will walk through the process with easy to follow numbers.
8. Problem Solving Using Linear Regression: Steps & Examples
Linear regression can be a powerful tool for predicting and interpreting information. Learn to use two common formulas for linear regression in this lesson.
9. Interpreting the Slope & Intercept of a Linear Model
You've probably seen slope and intercept in algebra. These concepts can also be used to predict and understand information in statistics. Take a look at this lesson!
10. What is a Chi-Square Test? - Definition & Example
This lesson explores what a chi-square test is and when it is appropriate to use it. Using a simple example, we will work on understanding the formula and how to calculate the p-value.
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Other chapters within the OUP Oxford IB Math Studies: Online Textbook Help course
- OUP Oxford IB Math Studies Chapter 1: Number & Algebra 1
- OUP Oxford IB Math Studies Chapter 2: Descriptive Statistics
- OUP Oxford IB Math Studies Chapter 3: Geometry & Trigonometry 1
- OUP Oxford IB Math Studies Chapter 4: Mathematical Models
- OUP Oxford IB Math Studies Chapter 6: Introducing Differential Calculus
- OUP Oxford IB Math Studies Chapter 7: Number & Algebra 2
- OUP Oxford IB Math Studies Chapter 8: Sets & Probability
- OUP Oxford IB Math Studies Chapter 9: Logic
- OUP Oxford IB Math Studies Chapter 10: Geometry & Trigonometry 2
- OUP Oxford IB Math Studies Chapter 13: Prior Learning