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Chi square Test for the Population variance
When we want to test that a random sample has been drawn from a normal population having specified variance then X2 statistic under the null hypothesis for the random sample of n size will be.
X2 = ∑ (X- x¯) / = ns2/
With (n-1) = Degree of freedom
where S2= sample variance
X2= population variance
N= sample size
This value of X2 will be compared with the table value at (n-1) degree of freedom at certain level of significance for accepting or rejecting null hypothesis.
Maximize p = (3)x + 2y subject to 2x + y 3x + 4y >= 12
RANGE Range is the difference between the highest and the lowest value is series. This is the simplest absolute measure of dispersion. Symbolically : R= L- S
A paper mill produces two grades of paper viz., X and Y. Because of raw material restrictions, it cannot produce more than 400 tons of grade X paper and 300 tons of grade Y paper i
Normal 0 false false false EN-IN X-NONE X-NONE
Type of Measures of Dispersion a. Absolute Measure: The measure of dispersion which is expressed in terms of the units of the observations( e, g, Rupees , metre ,
Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0
Assumption of F- Test The theoretical assumption on which F test is based are: 1.The populations for each sample must be normally distributed with identical mean
discuss Dr. Konigs assignment method
#question.Solve the following Linear Programming Problem using Simple method. Maximize Z= 3x1 + 2X2 Subject to the constraints: X1+ X2 = 4 X1 - X2 = 2 X1, X2 = 0.
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