Essay regarding Use of Central Propensity and Distribution in Business Decision



" Use of Central Tendency and Dispersion in corporate Decision” Training course Title: Business Statistics

Program Code: STS201

Submitted To: Mr. Raihanul Hasan

Senior Lecturer

Submitted By simply:

Day of submission: 26-12-12



We are able to use solitary numbers referred to as " Synopsis Statistics' to describe characteristics of your data arranged. Two of these characteristics are extremely important to decision makers: 1 ) Central propensity

2 . Dispersion

Measures of central inclination and dispersion provide a practical way to spell out and review sets of information.

Central Tendency:

Central propensity is the middle point of the distribution. Actions of central tendency are known as Measures of location. Measures of central inclination yield advice about the center, or perhaps middle part, of a number of a amounts. It does not focus on the course of data established or how long values happen to be from the middle section numbers.


Dispersion is the pass on of the info in a circulation, that is, the extent where the findings are existing.


* To work with summary statistics to describe collection of data. * To use the mean, typical and method to describe how data " bunch up” * To work with the range, variance and standard deviation to explain how data " spread out”.


Measures of central tendency consist of three essential tools – mean (average), median and mode. Indicate

The math mean is the most common way of measuring central inclination. For a info set, the mean may be the sum of the observations divided by the volume of observations. Essentially, the mean describes the central precise location of the data. For any given group of data, in which the observations are x1, x2, …., xi; the Arithmetic Mean is described as:

The measured arithmetic suggest is used, in the event that one wants to combine average values coming from samples of the same population based on a sample sizes:

Example one particular:

Observations| 12| 15| 20| 22| 40

Weights| 2| 5| 7| 6| one particular

Find the mean.

Observations| Weights| xiwi| Mean =401/21 =19. 10

12| 2| 24|

15| 5| 75|

20| 7| 140|

22| 6| 132|

30| 1| 30|

Total| 21| 404|

Positive aspects

* can be specified applying and formula, and therefore may be manipulated algebraically * is the most sufficient of the three estimators

* is considered the most efficient with the three estimators

* is usually unbiased


* is extremely sensitive to extreme results (i. electronic., low resistance) * worth is unlikely to be one of many actual data points

5. requires an interval size

* whatever else about the distribution that we'd desire to convey to someone if we were conveying it to them?


The typical of a finite list of amounts can be found simply by arranging each of the observations from lowest worth to top value and picking the center one. If you have an even number of observations, the median is definitely not exclusive, so a single often usually takes the mean of the two middle ideals. For Strange number of findings:

Median sama dengan (n+1)/2 th observations.

For Even volume of observations:

Median = Average of (n/2) th and (n/2 & 1) th observations.

Listed below are the test test ratings you have seen so often:

95, 100, 99, 98, ninety two, 91, 91, 90, 88, 87, 87, 85, eighty five, 85, 80, 79, seventy six, 72, 67, 66, forty five The " middle" score of this group could easily be seen because 87. For what reason? Exactly half the scores rest above 87 and fifty percent lie listed below it. Therefore, 87 is in the middle with this set of scores. This scores are known as the typical. In this case, there are twenty one scores. The eleventh score in the purchased set is definitely the median score (87), because ten scores are on possibly side of it. If there were an even number of scores, state 20, the median might fall midway between the 10th and 11th scores inside the ordered arranged. We would believe it is by adding the two scores (the tenth and eleventh scores) together and dividing simply by two. Positive aspects

* is usually unbiased

* is...

References: 1) http://www.scribd.com/doc/24787874/Measures-of-Central-Tendency

2) http://www.headscratchingnotes.net/2011/12/measures-of-central-tendency-and-measures-of-dispersion/

3) http://www.scribd.com/doc/74113636/Data-Analysis-Measures-of-Central-Tendency-Dispersion

4) http://www.ehow.com/info_8538178_jobs-use-central-tendency.html