Question

In: Statistics and Probability

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 9 9 8
2 12 6 5
3 18 15 14
4 20 18 18
5 8 7 8

Use α = 0.05 to test for any significant differences.

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 = ___

The following data were obtained for a randomized block design involving five treatments and three blocks: SST = 570, SSTR = 390, 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 390
Blocks 95
Error 85
Total 570

Test for any significant differences. Use α = 0.05.

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 = ____

An automobile dealer conducted a test to determine if the time in minutes needed to complete a minor engine tune-up depends on whether a computerized engine analyzer or an electronic analyzer is used. Because tune-up time varies among compact, intermediate, and full-sized cars, the three types of cars were used as blocks in the experiment. The data obtained follow.

Analyzer
Computerized Electronic
Car Compact 51 43
Intermediate 55 44
Full-sized 62 45

Use α = 0.05 to test for any significant differences.

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 = ____

Solutions

Expert Solution

1. From the given data

ANOVA Table
Source df Sum of square mean Square F F-critical P-value
Treatment 2 390 195 18.35 4.4590 0.001
Block 4 95 23.75 2.24 3.8379 0.155
Error 8 85 10.625
Total 14 570

Use α = 0.05 to test for any significant differences.

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

For Treatment: F = 18.35

For Block : F = 2.24

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

p-value = 0.001 for treatment

P-value = 0.155 for block

Since P-value = 0.001 < alpha 0.05 so we reject H0

Thus we conclude that there is significant difference among the treatments

and

Since P-value = 0.155 >< alpha 0.05 so we do not reject H0

Thus we conclude that there is not significant difference among the blocks

----------------------------------------------------------------------------------------------------------------------------------------------------------------------

2. H0: Car and Analyzer are independent

H1: Car and Analyzer are not independent

Let the los be alpha = 5%

The observed frequencies are

Computerized Electronic Total
Compact 51 43 94
Intermediate 55 44 99
Full-sized 62 45 107
Total 168 132 300

The expected frequencies are

Computerized Electronic Total
Compact 52.64 41.36 94
Intermediate 55.44 43.56 99
Full-sized 59.92 47.08 107
Total 168 132 300

The chi-square contribution values are

Oi Ei (Oi-Ei)^2 /Ei
51 52.64 0.0511
43 41.36 0.065
55 55.44 0.0035
44 43.56 0.0044
62 59.92 0.0722
45 47.08 0.0919
Total: 0.2881

Degrees of freedom: 2

Test Statistic, X^2: 0.29

P-Value: 0.866

since P-value > alpha 0.05 so we accept H0

Thus we conclude that Car and Analyzer are independent


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