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Awesome reference sheet for Term Test 2 (8½” by 11″ page). All of the formulas and definitions from Chapters 5, 7, 8, 9 and 10 are included here – along with examples – in a very easy to understand layout. Everything is Included that you will need!
2654 learners taking this course
Here are some free resources to help you prepare for your second term test.
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Chapter 7 continues with probability calculations, but this time for multiple discrete outcomes. How does this differ from Chapter 6? What is the difference between Random Discrete and Binomial variables? Come check out my simple lessons and full step-by-step solutions.
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1108 learners taking this course
This is a fairly easy chapter. If you understand how to solve problems in Chapter 8, then Chapter 9 is just a simple extension of the same techniques. Don’t get too comfortable though – The “Central Limit Theorem” introduced here is an important bit of theory that will be tested on in the multiple choice. Also, the calculations and table references you learn here will will play a big role in Chapters 10, 11, and 12.
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Chapter 8 shows us how to handle the probabilities associated with individual outcomes when the measured variable is continuous in scale. Understanding these techniques will be crucial since they are used repeatedly for the remainder of the course.
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You’ll need data to apply all of the procedures that you learn in statistics. Making sure that the data properly represents the population you’re targeting is key – Learn about the factors that go into making this happen.
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With this chapter, we finally move on from simply describing our observations, and start making inferences about the population. Using only two sample statistics (the sample mean and size) and one population parameter (the population standard deviation), we can now estimate the unknown population mean.
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The test questions don’t change very much from one semester to the next. Why not have a look and see what kinds of questions your department likes to ask?…And how to solve them too!
