4. a) Plating of gold on wrist watches requires a chemical called . AiCI 3
Concentration of
the chemical that is added to the solution is an important factor. The objective is to
choose that concentration for which plating is uniform. Three concentration of AiCI 3
chosen were 5%, 15% and 20%. These were added in the solution and plating was
done and thickness (in units) measured on 5 samples is gives below.
Sample
→
↓
Conc. of AiCI3
1 2 3 4 5
5% 3 2 4 2 4
15% 4 4 3 2 4
25% 3 3 4 4 2
Use ANOVA to comment on whether the concentration of AiCI gives same result or 3
not. (Use 05.0 α = )
The given data is-
Let
"H_o" : The concentartion of "Alcl_3" gives same same results.
"H_a" :The concentartion of "Alcl_3" does not gives same same results.
The variance table is given by-
The combines sample size "n=n_1+n_2+n_3+n_4"
"=3+3+3+3+3\\\\=15"
The number of samples "K=5"
The mean of the combined sample-
"\\bar{x}=\\dfrac{x_1+x_2+x_3+x_4+x_5}{5}"
"=\\dfrac{3.33+3+3.66+2.66+3.33}{5}"
"=\\dfrac{14.792}{5}=2.96"
The Mean square for treatment(MST)-
"=\\dfrac{n_1(x_1-\\bar{x})^2+n_2(x_2-\\bar{x_2})^2+n_3(x_3-\\bar{x_3})^2+n_4(x_4-\\bar{x_4})^2+n_5(x_5-\\bar{x_5})^2}{k-1}"
"=\\dfrac{3(3.33-2.96)^2+3(3-2.96)^2+3(3.66-2.96)^2+3(2.66-2.96)+3(3.33-2.96)^2}{5-1}"
"=\\dfrac{3(0.1369+0.0016+0.49+0.09+0.1369)}{5}=0.51324"
The Mean square for Error(MSE)-
"=\\dfrac{(n_1-1)s_1^2+(n_2-1)s_2^2+(n_3-1)s_3^2+(n_4-1)s_4^2+(n_5-1)s_{5}^2}{n-K}"
"=\\dfrac{(3-1)(0.0456)+(3-1)(0.00053)+(3-1)(0.163)+(3-1)(0.03)+(3-1)(0.0456)}{15-5}"
"=\\dfrac{2(0.0456+0.0053+0.163+0.03+0.0456)}{10}"
"=0.0579"
Then, "F=\\dfrac{MST}{MSE}"
"=\\dfrac{0.51324}{0.0579}=8.8642"
For Annova test the degree of freedom "df_1=n_1-1=3-1=2" and "df_2=n-K=15-5=10"
The Tabulated value of F at degree of freedome 2 and 10 at 0.05 level of significance is 4.10
Conclusion: As The calculated value of F is greater than the tabulated F at 95% level of significance.
So "H_o" is rejected. Hence The concentartion of "Alcl_3" does not gives same same results
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