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Car Data

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Submitted By sparkybull
Words 306
Pages 2
After look over the car data I was able to determine that the information providers in the chart are both discrete and continuous. The discrete data is the size of the cars and the number of cylinders. Both of this data types are discrete data because they cannot be broken down any smaller or explained in a simpler form. Discrete data cannot be half, however continuous data can. The weight, length, and mileage are all continuous data. They are continuous data because they can be broken down to small units. The level of data that the car data is a ratio scale. The data is a ratio scale because each group of data can be broke down to find it mean, median, and mode. Below is a histogram graph of the car data provided. By using the data in the chart one can come up with many different measurement or center. Here is some example of measurement of center that is given in the graph and data average weight is 3316, average lengths 180, and the average number of cylinders is 5. There also is many measurement of variation that can be found in the data the following are some example of these measurement of variation that can be found. The variation of the weight is 1855, the variation of the length is 58, and the variation of the cylinder is 4.

The information giving in my opinion is an example of probability distribution. It is probability distribution because the information is all links to each other. Each column information is link to the column before it and after it. The information giving is normal it is not a normal cure it is just simple normal. The information is normal because the data or graphs doesn’t show any unusual or any distortion in the information.

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