Question

In: Statistics and Probability

Four different designs for a digital computer circuit are being studied to compare the amount of...

  1. Four different designs for a digital computer circuit are being studied to compare the amount of noise present. The following data were obtained using a completely randomized design:

         Circuit design                                            Noise observed

1

39

20

19

30

8

2

80

61

73

56

80

3

47

26

25

35

50

4

95

56

83

78

97

  1. Calculate by hand (using formulas and a calculator) the sums of squares for this experiment and then construct the ANOVA table. Show your work.

  1. Using a significance level of 0.01, give the rejection region of the statistical test for this experiment (write it as an interval): ________________  

  1. Is there enough evidence to conclude that the mean amount of noise is not the same among the four circuit designs? _______ (use a significance level of 0.01)

  1. Find the observed residual of the first observation (39) for circuit design #1 _____.

  1. Use Fisher’s least significant difference method to perform pairwise comparisons among treatment means (α=0.05). Complete the calculations by hand and show your work. Write down the least significant difference _______. Which circuit designs have equal mean amounts of noise? _____________________________

  1. Construct a 90% confidence interval for the difference in mean amount of noise between circuit designs #1 and #2: ___________________ Show your work.

Solutions

Expert Solution

A B C D
count, ni = 5 5 5 5
mean , x̅ i = 23.200 70.00 36.60 81.80
std. dev., si = 11.777 11.023 11.589 16.48
sample variances, si^2 = 138.700 121.500 134.300 271.700
total sum 116 350 183 409 1058 (grand sum)
grand mean , x̅̅ = Σni*x̅i/Σni =   52.90
square of deviation of sample mean from grand mean,( x̅ - x̅̅)² 882.090 292.410 265.690 835.210
TOTAL
SS(between)= SSB = Σn( x̅ - x̅̅)² = 4410.450 1462.050 1328.450 4176.050 11377
SS(within ) = SSW = Σ(n-1)s² = 554.800 486.000 537.200 1086.800 2664.8000

no. of treatment , k =   4
df between = k-1 =    3
N = Σn =   20
df within = N-k =   16

SST=Σ( x - x̅̅ )² =    14041.800
  
mean square between groups , MSB = SSB/k-1 =    3792.3333
  
mean square within groups , MSW = SSW/N-k =    166.5500
  
F-stat = MSB/MSW =    22.7699
P value =   0.0000
  

anova table
SS df MS F p-value F-critical
Between: 11377.00 3 3792.33 22.77 0.0000 5.29
Within: 2664.80 16 166.55
Total: 14041.80 19


...........................

critical value = 5.29

rejection region : reject Ho if F stat >5.29

...............

F stat =22.77

f stat >5.29, reject Ho

the mean amount of noise is not the same among the four circuit designs

..................

Level of significance 0.05
no. of treatments,k 4
DF error =N-k= 16
MSE 166.550
t-critical value,t(α/2,df) 2.120

Fishers LSD critical value=tα/2,df √(MSE(1/ni+1/nj))
=17.3029

confidence interval
population mean difference critical value lower limit upper limit result
µ1-µ2 -46.800 17.3029 -64.10 -29.50 means are different
µ1-µ3 -13.400 17.3029 -30.70 3.90 means are not different
µ1-µ4 -58.600 17.3029 -75.90 -41.30 means are different
µ2-µ3 33.400 17.3029 16.10 50.70 means are different
µ2-µ4 -11.800 17.3029 -29.10 5.50 means are not different
µ3-µ4 -45.200 17.3029 -62.50 -27.90 means are different

....................

thanks

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