Continuous & Normal Distributions in Business: Uses & Examples

Instructions:

Choose an answer and hit 'next'. You will receive your score and answers at the end.

question 1 of 3

Data can be described as being _____ when it is dynamic and changes frequently.

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1. When plotted data points fall primarily inside the boundaries of this chart (sometimes called a bell curve), it is indicative that the data can be characterized as _____.

2. In a business context, normally distributed data can be used to accomplish all of the following EXCEPT:

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About This Quiz & Worksheet

Use this short quiz and worksheet to test yourself on how well you understand continuous and normal distributions in business. Work through questions on what normally distributed data is used for in business and examples of fixed data points.

Quiz & Worksheet Goals

It only takes a few minutes to see if you know:

  • What it means when plotted data falls primarily inside of a bell curve
  • How data can be described when it changes frequently and is dynamic
  • What normally distributed data can be used to accomplish in a business context
  • A true statement about two sample datapoints
  • What could be considered an example of a fixed or discrete data point

Skills Practiced

  • Interpreting information - verify that you can read information regarding how dynamic data can be described and interpret it correctly
  • Reading comprehension - ensure that you draw the most important information from the related lesson on continuous and normal distributions in business
  • Information recall - access the knowledge you've gained regarding what it means when plotted data falls within a bell curve

Additional Learning

If you'd like to learn more about this subject, take a look at our lesson called Continuous & Normal Distributions in Business: Uses & Examples. When you work through this lesson, you should be able to:

  • Explain why businesses need accurate market data
  • Differentiate between a sample and a population
  • Define what an outlier is and how it affects data
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