Representation of the data distribution

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Reference no: EM133037350

Part 1. Collecting Data

Identify a source of frequency data. This is just something that you will count during certain time intervals. This could be: phone calls per hour, defects in a process per hour cars passing every 10 minutes, red cars passing every 10 minutes.

Alternatively, you can count for a specific period of time, and categorize your observations. For example, you might count cars by color for 30 minutes, and record your observations by white, black, red, blue, green and other.

Defects by type

You decide what you want to count, and what is an appropriate interval. Design a check sheet to record the data. Then go out and collect the data on your checksheet. Make sure you get at least 30 data points.

Part 2. Histogram

Using data from the checksheet, Build a histogram. You can use software, or create this by hand, but it should be a relatively accurate representation of the data distribution.

Part 3. Pareto Chart

Using data from the checksheet, Build a Pareto Chart. You can use software, or create this by hand. It does not need to be technically perfect, but it should indicate the most common occurrences on the left, with frequency declining as you move to the right.

Reference no: EM133037350

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