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Statistics 101: Principles of Statistics11 chapters | 141 lessons | 9 flashcard sets

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These assessments are useful tools for reviewing information you've learned about using Z-scores estimating areas under the normal curve. Quiz questions require you to define what Z-scores are, describe how to find the area under a Z-score, and analyze areas around normal distribution curves.

These practice assessments will test you on aspects of estimating areas with Z-scores, objectives include:

- Describe what a Z-score is
- Recognize the largest area of a group of Z-scores
- Understand how to find the area under the Z-score
- Define the point at which the normal distribution curve is at its highest point
- Identify the score with the lowest area under it

This quiz and worksheet allows you to practice following skills:

**Interpreting information**- verify that you can read information regarding points on a distribution curve and interpret it correctly**Reading comprehension**- ensure that you draw the most important information from the related statistics lesson**Information recall**- access the knowledge you've gained regarding what a Z-score is and how it's used to estimate data values

You can learn more about this statistics skill by viewing the video lesson called Estimating Areas Under the Normal Curve Using Z-Scores. Goals of this lesson include:

- Recall the definition of a Z-score
- Explore how to use statistical tables to view Z-scores
- Understand the process of finding data points between two Z-scores
- Discover how to find values beyond Z-scores

You are viewing lesson
Lesson
7 in chapter 6 of the course:

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Statistics 101: Principles of Statistics11 chapters | 141 lessons | 9 flashcard sets

- Go to Probability

- Graphing Probability Distributions Associated with Random Variables 6:33
- Finding & Interpreting the Expected Value of a Continuous Random Variable 5:29
- Developing Continuous Probability Distributions Theoretically & Finding Expected Values 6:12
- Probabilities as Areas of Geometric Regions: Definition & Examples 7:06
- Normal Distribution: Definition, Properties, Characteristics & Example 11:40
- Finding Z-Scores: Definition & Examples 6:30
- Estimating Areas Under the Normal Curve Using Z-Scores 5:54
- Using the Normal Distribution: Practice Problems 10:32
- Using Normal Distribution to Approximate Binomial Probabilities 6:34
- How to Apply Continuous Probability Concepts to Problem Solving 5:05
- Go to Continuous Probability Distributions

- Go to Sampling

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