To find mean of ungrouped data
It is obtained by adding the raw scores and dividing the sum by the number of items. Suppose the raw scores are x 1 , x 2 , x 3 ,, x N then, mean where M = mean x = each score or item N = number of items = sigma, which means 'summation of ' Find the mean of 6, 10, 4, 12, 8. M = 8 ..
It is obtained by adding the raw scores and dividing the sum by the number of items. Suppose the raw scores are x 1 , x 2 , x 3 ,, x N then, mean where M = mean x = each score or item N = number of items = sigma, which means 'summation of ' Find the mean of 6, 10, 4, 12, 8. M = 8 ..Statistics: Graphical Representation
The scientific methods of collection of data, its classification and application to commerce and everyday life is called statistics. A list of some important terms as follows: (i) ungrouped data (ii) tabulation of data (iii) range (iv) frequency (v) fre..
www.TeachExcel.com This tutorial shows you how to group and ungroup rows and columns in excel. This is a way to hide and unhide data in excel which is much easier to use than other ways to hide data. This method allows you to click a visible button to unhide or hide certain parts of the spreadsheet. This example shows you how to group and subsequently hide data that is being charted or graphed, but still plot the hidden data and also how to hide data used in a VLOOKUP(). The VLOOKUP ...
The difference between calculating sample variance for grouped and ungrouped data is illustrated.
Question :
Answer : Grouped data is data in the same set. Ungrouped data is data in different sets... More from Yahoo Answers
Answer : Grouped data is data in the same set. Ungrouped data is data in different sets... More from Yahoo Answers
Question :
Answer : You don't mean "the quantile" since there are actually (q-1) quantiles (I) first you have to order the data points from smallest to largest (II) then you count how many points there are: call it n (III) then you divide n by the quantile index q. (IV) then, for a finite population of N values indexed 1,...,N from lowest to highest, the kth q-quantile of this population can be computed via the value of I_p = N \frac{k}{q}. If Ip is not an integer, then round up to the next integer to get the appropriate index; the corresponding data value is the kth q-quantile... More from Yahoo Answers
Answer : You don't mean "the quantile" since there are actually (q-1) quantiles (I) first you have to order the data points from smallest to largest (II) then you count how many points there are: call it n (III) then you divide n by the quantile index q. (IV) then, for a finite population of N values indexed 1,...,N from lowest to highest, the kth q-quantile of this population can be computed via the value of I_p = N \frac{k}{q}. If Ip is not an integer, then round up to the next integer to get the appropriate index; the corresponding data value is the kth q-quantile... More from Yahoo Answers
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