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STA301 Statistics and Probability GDB No.1 Solution and Discussion Spring 2015 Due Date: May 15, 2015

STA301 Statistics and Probability GDB No.1 Solution and Discussion Spring 2015 Due Date: May 15, 2015

STA301 Statistics and Probability GDB No.1 Solution

Dear Students,

    Graded Discussion Board (GDB) for STA301 will be opened on May 14, 2015 and will remain open till May 15, 2015. The topic of this GDB is,

  “Why an average computed from a frequency distribution is not exactly the same  as computed from the raw data? Give the reason”.


Your comments should NOT exceed from 250 words.

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Replies to This Discussion

In statistics, a frequency distribution is a table that displays the frequency of various outcomes in a sample. Each entry in the table contains the frequencyor count of the occurrences of values within a particular group or interval, and in this way, the table summarizes the distribution of values in the sample.

Raw data (sometimes called source data or atomic data) is that has not been processed for use. A distinction is sometimes made between data and  to the effect that information is the end product of data processing. Raw data that has undergone processing is sometimes referred to as cooked data.


          can you tell me about the first GDB of STA301 answer?

aslam alikuum, kiya mjhy koi yeh bta skta hai k sta301 ki assigment kese krna h

Helping is Caring.. 

Nice Discussion and knowledge sharing..

Well done guys!

kindly agr koi bta sakta ha to plz tell me plzzzzzzzzzzzzzzzzzzz????

STA301 GDB ka koi bta sakta ha kia

gdb mn ye btana ha k jo average hm frequency distrobution se calculate krty hn wo raw data se calculate ki gai  k sath same q nai hoti

hargiz nhi..

must take idea from net search but write in your own words..

If the frequency distribution represents binned data then you will be weighting a single (central) value for that bin by the number of observations in the bin. This of course is an approximation. The errors should be small, and essentially ignorable, similar to rounding errors that can sometimes lead a series of percentages to not sum exactly to 100.

means we have to demonstrate the  methods of raw data and freq distribution  to get the avarages......?????


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