Question

In a completely randomized experimental design, three brands of paper towels were tested for their ability...

In a completely randomized experimental design, three brands of paper towels were tested for their ability to absorb water. Equal-size towels were used, with four sections of towels tested per brand. The absorbency rating data follow.

Brand
x y z
92 98 84
101 95 87
88 93 88
87 102 77

At a 0.05 level of significance, does there appear to be a difference in the ability of the brands to absorb water?

State the null and alternative hypotheses.

H0: μx = μy = μz
Ha: Not all the population means are equal.H0: μxμyμz
Ha: μx = μy = μz    H0: Not all the population means are equal.
Ha: μx = μy = μzH0: μx = μy = μz
Ha: μxμyμzH0: At least two of the population means are equal.
Ha: At least two of the population means are different.

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

State your conclusion.

Do not reject H0. There is sufficient evidence to conclude that the mean absorbency ratings for the three brands are not all equal.Do not reject H0. There is not sufficient evidence to conclude that the mean absorbency ratings for the three brands are not all equal.    Reject H0. There is not sufficient evidence to conclude that the mean absorbency ratings for the three brands are not all equal.Reject H0. There is sufficient evidence to conclude that the mean absorbency ratings for the three brands are not all equal.

Homework Answers

Answer #1

For the given data using Anova single factor in Excel we get output as

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
x 4 368 92 40.66667
y 4 388 97 15.33333
z 4 336 84 24.66667
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 344 2 172 6.396694 0.018691 4.256495
Within Groups 242 9 26.88889
Total 586 11

Null and alternative hypotheses :

H0: μx = μy = μz

Ha: At least two of the population means are different.

test statistic :

From the above output

test statistic = 6.40

p-value = 0.0187

conclusion :

P value < L.o.s

0.0187 < 0.05

So reject H0

Reject H0. There is sufficient evidence to conclude that the mean absorbency ratings for the three brands are not all equal.


Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
In a completely randomized experimental design, three brands of paper towels were tested for their ability...
In a completely randomized experimental design, three brands of paper towels were tested for their ability to absorb water. Equal-size towels were used, with four sections of towels tested per brand. The absorbency rating data follow. Brand x y z 90 99 83 100 97 87 87 93 90 95 99 72 At a 0.05 level of significance, does there appear to be a difference in the ability of the brands to absorb water? State the null and alternative hypotheses....
In a completely randomized experimental design, three brands of paper towels were tested for their ability...
In a completely randomized experimental design, three brands of paper towels were tested for their ability to absorb water. Equal-size towels were used, with four sections of towels tested per brand. The absorbency rating data follow. Brand x y z 91 100 84 99 95 88 89 93 90 85 104 74 At a 0.05 level of significance, does there appear to be a difference in the ability of the brands to absorb water? State the null and alternative hypotheses....
Develop the analysis of variance computations for the following completely randomized design. At α = 0.05,...
Develop the analysis of variance computations for the following completely randomized design. At α = 0.05, is there a significant difference between the treatment means? Treatment A B C 136 108 91 119 115 81 113 125 85 106 105 102 130 108 88 115 109 117 129 96 109 112 115 121 104 99 85 107 xj 120 107 100 sj2 110.29 119.56 186.22 State the null and alternative hypotheses. H0: At least two of the population means are...
The following data were obtained for a randomized block design involving five treatments and three blocks:...
The following data were obtained for a randomized block design involving five treatments and three blocks: SST = 510, SSTR = 370, SSBL = 95. Set up the ANOVA table. (Round your value for F to two decimal places, and your p-value to three decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Blocks Error Total Test for any significant differences. Use α = 0.05. State the null and alternative hypotheses. H0: Not...
Consider the experimental results for the following randomized block design. Make the calculations necessary to set...
Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments A B C Blocks 1 10 9 8 2 12 6 5 3 18 16 14 4 20 18 18 5 8 7 8 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: Not all the population means are equal. Ha: μA = μB = μC H0: μA =...
In an experiment designed to test the output levels of three different treatments, the following results...
In an experiment designed to test the output levels of three different treatments, the following results were obtained: SST = 320, SSTR = 130, nT = 19. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments Error Total Test for any significant difference between the mean output levels of the three treatments....
You may need to use the appropriate technology to answer this question. Consider the experimental results...
You may need to use the appropriate technology to answer this question. Consider the experimental results for the following randomized block design. Make the calculations necessary to set up the analysis of variance table. Treatments A B C Blocks 1 10 9 8 2 12 7 5 3 18 15 14 4 20 18 18 5 8 7 8 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: μA ≠ μB ≠...
To study the effect of temperature on yield in a chemical process, five batches were produced...
To study the effect of temperature on yield in a chemical process, five batches were produced at each of three temperature levels. The results follow. Temperature 50°C 60°C 70°C 33 30 22 24 30 28 35 35 27 38 24 30 30 21 28 Construct an analysis of variance table. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F...
Three different methods for assembling a product were proposed by an industrial engineer. To investigate the...
Three different methods for assembling a product were proposed by an industrial engineer. To investigate the number of units assembled correctly with each method, 42 employees were randomly selected and randomly assigned to the three proposed methods in such a way that each method was used by 14 workers. The number of units assembled correctly was recorded, and the analysis of variance procedure was applied to the resulting data set. The following results were obtained: SST = 13,960; SSTR =...
An experiment has been conducted for four treatments with seven blocks. Complete the following analysis of...
An experiment has been conducted for four treatments with seven blocks. Complete the following analysis of variance table. (Round your values for mean squares and F to two decimal places, and your p-value to three decimal places.) Source of Variation Sum of Squares Degrees of Freedom Mean Square F p-value Treatments 900 Blocks 200 Error Total 1,600 Use α = 0.05 to test for any significant differences. State the null and alternative hypotheses. H0: At least two of the population...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT