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Lab012021A

# Lab012021A - Bus wating time(in minutes was measured in a...

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Bus wating time(in minutes) was measured in a bus stop during 1 hour. (a) What is the appropriate graph for this kind of data set? Why? a) This is a numerical data set therefore histogram, frequency polygon and ogive are appropriate. (b) How many observations do you have? There are 50 observations. Some ways to find this out - highlight data array area and find the count on Using data-data analysis-histogram, or using count( ) function. You can also develop your own way to (c) Using the data set, create a histogram with classes of 0~5, 5~10, 10~15, 15~20, 20~25, 25~30, 30~ (d) How do you deal with the upper limit such as 5 for class 0~5? Since Excel treats upper limits as if they were closed, we need to set the upper limit slightly less than th e) Using the first set of classes, draw a frequency polygon and ogive for the data. Do these graphs con A frequency polygon is a different expression of a histogram using line. It contains similar information with a histogram, though a frequency polygon makes it easier to observe Ogive gives you the information about cumulative distribution of observations. Wating time class bin range bin range Frequency 6 0~5 4.99 0~5 12 5 5~10 9.99 5~10 16 33 10~15 14.99 10~15 11 6 15~20 19.99 15~20 7 17 20~25 24.99 20~25 2 6 25~30 29.99 25~30 1 18 30~35 34.99 30~35 1 6 27 1 14 7 11 8 22 1 7 4 bin range Frequency 15 0 0 19 2.5 12 20 7.5 16 17 12.5 11 14 17.5 7 12 22.5 2 Frequenc Frequenc

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7 27.5 1 6 32.5 1 4 37.5 0 3 8 14 1 9 2 17 bin range Frequency Cumulative % 14 0 0 0 3 5 12 24.00% 2 10 16 56.00% 9 15 11 78.00% 19 20 7 92.00% 2 25 2 96.00% 10 30 1 98.00% 3 35 1 100.00% 11 14 6 7 12 7 3 11
n lower right of the screen, check this.

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Lab012021A - Bus wating time(in minutes was measured in a...

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