Thank you for your Support and Co-Operation. Histograms are used in many activities like QA analysis, the Six Sigma project, Kaizen, SGA, Quality circle projects, etc. and it is frequently used as one of 7 QC tools in manufacturing industries for process improvement. we have already written the post on it, if you would like to learn the steps then, read the articles.Īs we know how the histogram plays a vital role in data analysis and with the help it you can easily understand the frequency distribution and different shapes like Symmetric, Left skewed, Right skewed & Bimodal, etc. If you are not getting the data analysis option in your excel sheet, then you have to install it in the excel sheet. Now the final histogram will look like as Go to the data section then the data analysis bar and select the histogram Step-5Īfter selecting the histogram from the data analysis bar, such a dialogue box will be appeared, now you have to select the Input range ( select the whole temperature reading ) then select the temperature bin range as described in the arrow as per step -5, and finally enter the ok after selecting the output range( for output range you have to select at any point in excel where you would like to see the graph may be in the same sheet or in new excel sheet) ( go to the formula then more functions next to statistical then frequency and finally enter on frequency) Step-4 In step -3 you have to calculate the frequency distribution w.r.t temperature bin range, just follow the step 3 explanation in the Excel sheet.įor getting the frequency formula in excel you may follow the below. (445+1.6 I.e (=I5+G7) then enter the “F4” key after “+” & before “G7” of the above formula to freeze the 1.6 interval value in all the columns, then drag ) Step-3 Now you have to calculate the Bin range of Temp as per the below steps You can use the Excel formula to calculate the count, Max, and Min.
Let we are having 100 numbers of temperature readings, so first of all we need to calculate the count, Max, Min & interval of data as per below. As you can see the histogram in below which indicating the data distribution within the bin range. In the below temperature reading, we have 100 data but we do not know whether the data are normal or non-normal and also how many data are within the specification limit, after plotting the histogram will give you an indication of data distribution.
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