In: Statistics and Probability
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 = ____
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
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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