Question #279173

1.A tea company appoints four salesman A.B.C.D and observes their sales in three seasons Summer, Winter and Monsoon. The figures(in lakhs) are given in the following table:



Seasons. A B C D



Summer. 45. 40. 38. 37



Winter. 43. 41. 45. 38



Monsoon. 39. 39. 41. 41




Carry out an analysis of variance.

1
Expert's answer
2021-12-14T11:36:26-0500

Seasons A B C D Totals

Summer. 45 40 38 37 160

Winter. 43 41 45 38 167

Monsoon 39 39 41 41 160

Totals 127 120 124 116 487

There are 44 salesmen and 33 seasons. Therefore, n=34=12.n=3*4=12.

The correction factor, c.f=487212=19764.083333c.f={487^2\over 12}=19764.083333

Total sum of squares, SST=yij2c.f=1984119764.083333=76.91667SST=\sum\sum y_{ij}^2-c.f=19841-19764.083333=76.91667

Between salesmen sum of squares, R1=(1272+1202+1242+1162)3c.f=1978719764.08333=22.916667R_1={(127^2+120^2+124^2+116^2)\over3}-c.f=19787-19764.08333=22.916667

Between seasons sum of squares,R2=(1602+1672+1602)4c.f=1977119764.08333=8.166667R_2={(160^2+167^2+160^2)\over4}-c.f=19771-19764.08333=8.166667

Error sum of squares, ESS=SSTR1R2=76.9166722.9166678.166667=45.833333ESS=SST-R_1-R_2=76.91667-22.916667-8.166667=45.833333


The mean sum of squares for seasons is 8.1666672=4.0835{8.166667\over 2}=4.0835

The mean sum of squares for salesmen is 22.9166673=7.639{22.916667\over 3}=7.639

The mean error sum of squares is 45.833336=7.639{45.83333\over 6}=7.639


We have the following ANOVA table,




The hypotheses tested are,

a)a) For the seasons

H0:H_0: The seasons are not different

AgainstAgainst

H1:H_1: At least one of the seasons is different.

The test statistic is F1=1.87F_1=1.87

F1F_1 is compared with the FF distribution table value at α=0.05\alpha=0.05 with numerator degrees of freedom equal to 6 and denominator degrees of freedom is 2. The table value is,,

F0.05(6,2)=19.33F_{0.05}(6,2)=19.33.

The null hypothesis is rejected if F1>F0.05(2,6)F_1\gt F_{0.05}(2,6).

Since F1=1.87<F0.05(2,6)=5.99F_1=1.87\lt F_{0.05}(2,6)=5.99, we fail to reject the null hypothesis and conclude that sales in the 3 seasons are not different.


b)b)

For the seasons

H0:H_0: The salesmen are not different

AgainstAgainst

H1:H_1: At least one of the salesmen is different.

The test statistic is F2=1F_2=1

F2F_2 is compared with the FF distribution table value at α=0.05\alpha=0.05 with numerator degrees of freedom equal to 3 and denominator degrees of freedom equal to 6. The table value is,

F0.05(3,6)=4.76F_{0.05}(3,6)=4.76.

The null hypothesis is rejected if F2>F0.05(3,6)F_2\gt F_{0.05}(3,6).

Since F2=1<F0.05(3,6)=4.76F_2=1\lt F_{0.05}(3,6)=4.76, we fail to reject the null hypothesis and conclude that there is no difference in sales between the 4 salesmen.


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