Probability Distributions | Binomial

Binomial Poisson Normal Charts Histograms Hypothesis Testing

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Preparing a Histogram

• Count the data - N = ?
• Define the smallest Xs and the largest Xl values. Calculate the range R of all data. R = Xl - Xs
• Divide the range into classes. It is recommended that the number of classes (the number of histogram bars) is determined by the formula K = 1 + (3.2 * log10(N))
• Determine the class interval d (thickness of bars) as d = R / K
• Plot a tally chart, counting and putting check marks for the number in each interval.
• On the basis of the tally chart, build a histogram using a proper scale for the bars’ height.

What is a Histogram For?

• To estimate the nature of the data distribution.
• To predict the value that we would obtain in the future. Frequency Distribution => Probability Distribution.
• To estimate the percentage of the scrap.

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