Continuous frequency distribution, Applied Statistics

Assignment Help:

Formation of Continuous Frequency Distribution: 

 Continuous frequency distribution is most popular in practice. With reference to the formation of this type of frequency distribution the following technical terms are important.

(1) Class Limits:  The two values   which determine the limit of a group are called class class limits. The lower value is called lower limit whereas the higher value is called upper limit. In the example  given on page No5, 10,20,30,40,50,and 70, are  the lower limits of the related group  while 10, 20, 30, 40, 50, and 70 are upper limits of those groups. Lower limit is expressed by the symbol and the upper limit by.

(2) Magnitude of the Interval:  The difference between   the upper and lower limits of a class is called magnitude of the interval. In the aforesaid example the magnitude of each class interval or group is 10. it is expressed by the symbol.

(3) Mid value or midpoint central size: The central place of class limit is called mid value or midpoint or central size. It is obtained by dividing the sum of both the limit with 2 symbolically.

In the aforesaid example the mid value of the first group is  =10+0/2

Mid value = upper limit +lower limit /2

(4) Class Frequency   The number  of items or observation  corresponding to a particular class is known as frequency of that class .In the aforesaid example  the frequency of (0-10) class is 10, (10-20)  class 25 and similarly  .40,50,350,20,and 10 respectively for    (20-30), (30-40),(40-50),(50-60),and (60-70),  groups, The summation of all the  in division class frequencies being  200   is called  total  frequencies or total number of items.


Related Discussions:- Continuous frequency distribution

Null and alternative hypothesis, 1) Suppose you want to test a hypothesis t...

1) Suppose you want to test a hypothesis that two treatments, A and B, are equivalent against the alternative that the response for A tend to be larger than those of B. You plan to

Calculate the maximum weight of the engine, Determine the maximum weight in...

Determine the maximum weight in kN to one decimal point (1 DP) of the engine that can be supported without exceeding the tension given in  Parameter 1 (P1) in chain AB or 1.1 x P1

Find the unbiased estimators for mean and variance matrix, Is the random ve...

Is the random vector (Trunk Space, Length, Turning diameter) of US car normally distributed? Why? If yes, find the unbiased estimators for the mean and variance matrix of (Trunk Sp

Uncertain demand, Consider a Cournot duopoly with two firms (fi rm 1 and f...

Consider a Cournot duopoly with two firms (fi rm 1 and fi rm 2) operating in a market with linear inverse Demand P(Q) = x Q where Q is the sum of the quantities produced by both

Pattie-lynns utility function, Pattie-Lynn's utility function for total as...

Pattie-Lynn's utility function for total assets is, in which A represents total assets in thousands of dollars. (a) Graph Pattie-Lynn's utility function. How would y

Calculation for discrete series or ungrouped data , Calculation for Discre...

Calculation for Discrete Series or Ungrouped Data The formula for computing mean is = where,          f  = fr

Modified distribution mathod, a b c d e supply p 3 4 6 8 8 20 q 2 6 0 5 8...

a b c d e supply p 3 4 6 8 8 20 q 2 6 0 5 8 30 r 7 11 20 40 3 15 s 1 0 9 14 6 13 d 15 3 12 10 20

Statistical process control, Statistical Process Control The variabilit...

Statistical Process Control The variability present in manufacturing process can either be eliminated completely or minimized to the extent possible. Eliminating the variabilit

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