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//Caption:Two-tailed Test Concerning Single Mean
//(When the variance of the Population is Known and the Population is finite)
//Example8.6
//Page240
//Test: Ho:u=k; H1:u!=k
clc;
N = input('Enter the population size')
u = input('Enter the Population Mean');
Sigma2 = input('Enter the Populaion variance');
std = sqrt(Sigma2); //standard deviation
n = input('Enter the Sample Size');
X = input('Enter the Sample Mean');
alpha = input('Enter the significance level');
alpha = alpha/2;
//Calculation of Z statistic
Zx = nor_dist_stat_finite_po(X,u,std,n,N)
disp(Zx,'calculated Normal Z-statistic =')
Z_alpha = standard_normal_zstat(alpha)
disp(Z_alpha,'Standard Normal Stastistic=')
if ((-Z_alpha < Zx) &(Zx< Z_alpha)) then
disp('It falls in the Acceptance Region')
disp('Then Null Hypothesis Ho should be Accepted')
else
disp('It falls in the Rejection Region')
disp('Then Null Hypothesis Ho should be Rejected')
end
//Result
//Enter the population size 1000
//Enter the Population Mean 10000
//Enter the Populaion variance 490000
//Enter the Sample Size 36
//Enter the Sample Mean 10250
//Enter the significance level 0.01
//
// calculated Normal Z-statistic =
//
// 2.1814107
//
// Standard Normal Stastistic=
//
// 2.57
//
// It falls in the Acceptance Region
//
// Then Null Hypothesis Ho should be Accepted
//
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