1. An experiment investigated the effects of different bleaching chemicals on pulp brightness. Three chemicals were selected atrandom from a large population of potential bleaching chemicals. Summary statistics on pulp brightness are given below: Bleaching Chemical Sample Size Sample Mean Sample SD 1 2 8.607 5.146 6 72.843 6 83.386 3 5 77.257 5.460 An ANOVA table for analyzing the data is given below: Source DF SS MS F P-value Chemical 2 336.0 168.02 3.781 0.0486 Error 14 622.1 44.44 Total 16 958.1 Refer to formula set 10K for all the problems below. a. Briefly explain why a random-effects model is appropriate here. b. Carry out the hypothesis test based on the ANOVA table at the a = 0.10 levelof significance. Show all 4 steps in hypothesis testing that we followinclass. Use the P-value provided above. C Estimate of the variability due to bleaching chemicals. Show some calculations. d. What is an estimate of total variance in a single pulp brightness value? e. What proportion of total variation in a single pulp brightness value is attributed to differences

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1. An experiment investigated the effects of different bleaching chemicals on pulp brightness. Three
chemicals were selected atrandom from a large population of potential bleaching chemicals.
Summary statistics on pulp brightness are given below:
Bleaching Chemical Sample Size Sample Mean Sample SD
1
6
72.843
8.607
2
6
83.386
5.146
3
5
77.257
5.460
An ANOVA table for analyzing the data is given below:
Source DF SS MS
F P-value
Chemical 2 336.0 168.02 3.781 0.0486
Error 14 622.1 44.44
Total 16 958.1
Referto formula set 10K for all the problems below.
a. Briefly explain why a random-effects model is appropriate here.
b. Carry out the hypothesis test based on the ANOVA table at the a = 0.10 levelof significance.
Show all 4 steps in hypothesis testing that we followinclass. Use the P-value provided above.
c. Estimate o the variability due to bleaching chemicals. Showsome calculations.
d. What is an estimate of total variance in a single pulp brightness value?
e. What proportion of total variation in a single pulp brightness value is attributed to differences
among bleaching chemicals?
Transcribed Image Text:1. An experiment investigated the effects of different bleaching chemicals on pulp brightness. Three chemicals were selected atrandom from a large population of potential bleaching chemicals. Summary statistics on pulp brightness are given below: Bleaching Chemical Sample Size Sample Mean Sample SD 1 6 72.843 8.607 2 6 83.386 5.146 3 5 77.257 5.460 An ANOVA table for analyzing the data is given below: Source DF SS MS F P-value Chemical 2 336.0 168.02 3.781 0.0486 Error 14 622.1 44.44 Total 16 958.1 Referto formula set 10K for all the problems below. a. Briefly explain why a random-effects model is appropriate here. b. Carry out the hypothesis test based on the ANOVA table at the a = 0.10 levelof significance. Show all 4 steps in hypothesis testing that we followinclass. Use the P-value provided above. c. Estimate o the variability due to bleaching chemicals. Showsome calculations. d. What is an estimate of total variance in a single pulp brightness value? e. What proportion of total variation in a single pulp brightness value is attributed to differences among bleaching chemicals?
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