samples of 12 foremen in one division and 10 foremen in another division of a factory were selected at random and the following data were obtained.
Sample Size Average monthly salary (Rs.) S.D. of salary (Rs.)
Division I 12 6000 150
Division II 10 5500 165
Can you conclude that the foremen in division I get more salary than foremen in division II at 5% level ?
Given, "n_1=12,x_1=6000,\\sigma_1=150"
"n_2=10,x_2=5500,\\sigma_2=165"
Let "H_o:" foremen in division I get more salary than foremen in division II at 5% level.
and "H_a:" foremen in division I do not get more salary than foremen in division II at 5% level.
Here we use t-test for two independent samples-
"t=\\dfrac{x_1-x_2}{\\sqrt{\\frac{\\sigma_1^2}{n_1}+\\frac{\\sigma_2^2}{n_2}}}=\\dfrac{6000-5500}{\\sqrt{\\frac{150^2}{12}+\\frac{165^2}{10}}}=\\dfrac{500}{67.80}=7.3746"
The formula to calculate degree of freedom is-
Here degree of freedom "= n_1+n_2-2=12+10-2=20"
The value of t at 5% significance level and degree of freedom 20 is 1.725
Conclusion: The calculated value of t is greater tan the standard value at 5% significance level. So "H_o" is rejected i.e. foremen in division I do not get more salary than foremen in division II
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