The other upper class limits are found byĪdding 0.08 repeatedly to 11.93, until there are 4 upper class limits. Step 7: The first upper class limit is the largest number with the same accuracyĪs the data that is just below the second lower class limit. Step 6: By adding 0.08 to 11.86 repeatedly, we obtain the lower class limits: I chose 0.08 because I think it is easier to work with than 0.07. If we restrict our attention to the simplest Step 5: We can use any number bigger than 0.06, but not more than 0.08. Step 4: Compute the lower and upper bounds.
Steps listed above to construct the frequency distribution. Tallied correctly, the sum of all the frequencies should equal the total numberįollowing data represents the actual liquid weight in 16 "twelve-ounce" The frequencies of the first and last class must Optional, but you must show the class frequencies. The class frequencies should be recorded in their The tallies for each class gives the class frequency. Through the data values one by one and making a tally mark next to the class Upper class limits, you repeatedly add the class width to the first upper classĬlass limit - you have one upper class limit for each class.Ĩ. The biggest number below the second lower class limit with the same accuracy as The upper class limit for the first class is Have one lower class limit for each class.ħ. Score, repeatedly add the class width until - including the low score - you Than one possible class width, there can be many correct frequencyĭistributions with the same number of classes. To be any number greater than the lower bound, but not more than the upperĪccuracy than the original data, but should be easy to use in How many places to the right of the decimal point are used. Number of classes may be given in the instructions to the problem.)
The smallest data value (low score) and the largest data value (high score). Other methods may work sometimes, but they The following list of steps allows you to constructĪ perfect quantitative frequency distribution every time. Histogram, you first must make a quantitative frequency distribution. Histograms, Bad Histograms and Non-histograms Histogram from a Quantitative Frequency Distribution Making a Quantitative Frequency Distribution
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