In: Statistics and Probability
Air Voids |
Retained Strength (%) |
|||||||
Low |
106 |
90 |
103 |
90 |
79 |
88 |
92 |
95 |
Medium |
80 |
69 |
94 |
91 |
70 |
83 |
87 |
83 |
High |
78 |
80 |
62 |
69 |
76 |
85 |
69 |
85 |
d. What is the P value for the test? Test the hypotheses using the P value. Do you get the same answer as (d)? If your answer is different, clearly interpret it.
a)
Ho: µ1=µ2=µ3
H1: not all means are equal
.........
b)
treatment | G1 | G2 | G3 | G4 | ||||
count, ni = | 8 | 8 | 8 | |||||
mean , x̅ i = | 92.875 | 82.13 | 75.50 | |||||
std. dev., si = | 8.6 | 9.0 | 8.2 | |||||
sample variances, si^2 = | 73.268 | 81.268 | 67.714 | |||||
total sum | 743 | 657 | 604 | 2004 | (grand sum) | |||
grand mean , x̅̅ = | Σni*x̅i/Σni = | 83.50 | ||||||
( x̅ - x̅̅ )² | 87.891 | 1.891 | 64.000 | |||||
TOTAL | ||||||||
SS(between)= SSB = Σn( x̅ - x̅̅)² = | 703.125 | 15.125 | 512.000 | 1230.25 | ||||
SS(within ) = SSW = Σ(n-1)s² = | 512.875 | 568.875 | 474.000 | 1555.7500 |
no. of treatment , k = 3
df between = k-1 = 2
N = Σn = 24
df within = N-k = 21
mean square between groups , MSB = SSB/k-1 =
1230.25/2= 615.1250
mean square within groups , MSW = SSW/N-k =
1555.75/21= 74.0833
F-stat = MSB/MSW = 615.125/74.0833=
8.30
anova table | ||||||
SS | df | MS | F | F-critical | ||
Between: | 1230.3 | 2 | 615.1 | 8.30 | 3.467 | |
Within: | 1555.8 | 21 | 74.1 | |||
Total: | 2786.0 | 23 |
F stat = 8.30
F-critical = 3.467
rejection region :
f stat > 3.467
................
f stat > critical value , reject Ho
so, there is enough evidence to say that the different levels of air voids significantly affect mean retained strength
........
P value = 0.0022
p value < 0.05, reject Ho
same result as critical value
..................
Please let me know in case of any doubt.
Thanks in advance!
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