3. a) Two samples of 9 and 8 sizes give the sum of squares of deviations from respective
means equal to 160 and 91 inches squares. Test whether these samples have been
drawn from same normal population or not? (Use 05.0 α = )
Step 1 :-
Null Hypothesis: "(H_o)" "\\Rightarrow\\sigma_x^2=\\sigma_y^2 \\" (i.e. Samples are drawn from the same population)
Alternate Hypothesis: "(H_{1})\\Rightarrow \\sigma_x^2\\neq\\sigma_y^2" (i.e. Samples are not drawn from the same population)
Step 2 :-
LOS=5% (Two tailed test)
Degree of freedom = "n_1+n_2-2=9+8-2=15"
Step 2 : Data
m = 9, n = 8
"\\sum(x_i-\\bar x)^2=160\\ \\ \\ \\sum(y_i-\\bar y)^2=91"
Step 3 : Level of significance
α = 0.05
Step 4 : Test Statistic
"F=\\dfrac{S_1^2\/\\sigma_1^2}{S_2^2\/\\sigma_2^2}=\\dfrac{S_1^2}{S_2^2},\\ Under\\ H_o"
Step 5 : Calculation
"s_x^2=\\dfrac{1}{m-1}\\sum(x_i-\\bar x)^2=\\dfrac{160}{8}=20\\\\ s_y^2=\\dfrac{1}{n-1}\\sum(y_i-\\bar y)^2=\\dfrac{91}{7}=13"
"F_o=\\dfrac{s_x^2}{s_y^2}=\\dfrac{20}{13}=1.54"
Step 6 : Critical values
Since H1 is a two-sided alternative hypothesis the corresponding critical values are:
Critical value for 15 degree of freedoms= "\\pm 2.1314"
Step 7 : Decision
Since f (8, 7),0.95 = -2.1314 < F0 = 1.54 < f (8, 7),0.05 = 2.1314, the null hypothesis is not rejected and we conclude that Samples are drawn from the same population
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