Central tendency, Applied Statistics

Assignment Help:

Definition of Central Tendency

The central tendency of a variable means a typical value around which other values tend to concentrate which can be measured. Such concentration of the values in the central part of distribution is referred as measure of central tendency also known as averages. Thus averages are typical values around which other items of the distribution congregate. They are the   value  of a statistical series.  In the words of Yule and  Kendall,  Measure  of the location  or position of frequency  distribution  are called  averages ,According  to croxton and Cowden,   An  average  is a single  value within the range  of the data  which is used to represent all the value  in the series. Since an average  is somewhere  within the range of the data , it is sometimes  called a measure of central  value .

Similarly  A,E.Waugh  has defined  it as an average  is a single  value selected from a group of value to represent  them in some way  a value  which  is supposed to stand for whole group of which it is a part or typical  of all the value in the group.

Dr. A. L. Bowley has said statistics may right be called the science of average.

 


Related Discussions:- Central tendency

Risk of portfolios, Risk of Portfolios So far, we have seen the applic...

Risk of Portfolios So far, we have seen the application of standard deviation in the context of risk in single investment. But usually most investors hold portfolios of securi

Large sample test for proportion, Large Sample Test for Proportion A ra...

Large Sample Test for Proportion A random sample of size n (n > 30) has a sample proportion p of members possessing a certain attribute (success). To test the hypothesis that t

Inverse cumulative distribution function, The Null Hypothesis - H0: β0 = ...

The Null Hypothesis - H0: β0 = 0, H0: β 1 = 0, H0: β 2 = 0, Β i = 0 The Alternative Hypothesis - H1: β0 ≠ 0, H0: β 1 ≠ 0, H0: β 2 ≠ 0, Β i ≠ 0      i =0, 1, 2, 3

Dispersion.., discuss the advantages and disadvantages of measures of dispe...

discuss the advantages and disadvantages of measures of dispersions

Riemannian integral approximations, Investigate the use of fixed and perce...

Investigate the use of fixed and percentile meshes when applying chi squared goodness-of- t hypothesis tests. Apply the oversmoothing procedure to the LRL data. Compare the res

SPSS Program, I have 5 observations that i must plug into spss. I need an e...

I have 5 observations that i must plug into spss. I need an example of 1. I do not know if you are familiar with SPSS but I am going to ask anyway. Subject 1 is a Hispanic male who

Chi square test for more than two rows, Using Chi Square Test when more tha...

Using Chi Square Test when more than two Rows are Present   To understand this, let us consider the contingency table shown below. It gives us the information about the stage

Assumptions in regression, Assumptions in Regression To understand the...

Assumptions in Regression To understand the properties underlying the regression line, let us go back to the example of model exam and main exam. Now we can find an estimate o

Write Your Message!

Captcha
Free Assignment Quote

Assured A++ Grade

Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!

All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd