Question

In: Statistics and Probability

You want to see if three different cafes yield different costs for a lunch meal for...

You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution (10P). You have to use the same steps which we used in the lecture. You can find the steps from lecture slides or recorded video. Also, you have to take in a consider the HOMEWORK - PROJECT-PERFORMANCE EVALUATION FORM which is above. SEND IT IN MS WORD FORMAT NOT SCREEN SHOT
Cafe 1 Cafe 2
35 22 23 26 35 21 33 32 38 19
Cafe 3
26 22 34 34 36You want to see if three different cafes yield different costs for a lunch meal for a week. You randomly select five measurements from trials on an automated driving machine for each cafe. At the 0.05 significance level, is there a difference among cafes in mean lunch meal cost? Test this claim showing all calculation steps clearly in the Ms World file (25P) and draw an ANOVA Table for the solution (10P). You have to use the same steps which we used in the lecture. You can find the steps from lecture slides or recorded video. Also, you have to take in a consider the HOMEWORK - PROJECT-PERFORMANCE EVALUATION FORM which is above. SEND IT IN MS WORD FORMAT NOT SCREEN SHOT
Cafe 1 Cafe 2
35 22 23 26 35 21 33 32 38 19
Cafe 3
26 22 34 34 36

Solutions

Expert Solution

Café 1 Café 2 Café 3
count, ni = 5 5 5
mean , x̅ i = 28.200 28.60 30.40
std. dev., si = 6.380 8.204 6.066
sample variances, si^2 = 40.700 67.300 36.800
total sum 141 143 152 436 (grand sum)
grand mean , x̅̅ = Σni*x̅i/Σni =   29.07
square of deviation of sample mean from grand mean,( x̅ - x̅̅)² 0.751 0.218 1.778
TOTAL
SS(between)= SSB = Σn( x̅ - x̅̅)² = 3.756 1.089 8.889 13.73333
SS(within ) = SSW = Σ(n-1)s² = 162.800 269.200 147.200 579.2000

no. of treatment , k =   3
df between = k-1 =    2
N = Σn =   15
df within = N-k =   12
  
mean square between groups , MSB = SSB/k-1 =    6.8667
  
mean square within groups , MSW = SSW/N-k =    48.2667
  
F-stat = MSB/MSW =    0.1423
P value =   0.8688

SS df MS F p-value F-critical
Between: 13.73 2 6.87 0.14 0.8688 3.89
Within: 579.20 12 48.27
Total: 592.93 14
α = 0.05
conclusion : p-value>α , do not reject null hypothesis    

Ho: µ1=µ2=µ3
H1: not all means are equal

Conclusion:there is no difference among cafes in mean lunch meal cost

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