In: Statistics and Probability
Chapter 12
A researcher tested the number of mistakes made in a simulated driving test administered 15 minutes after subjects in Group C ingested the equivalent of 1.5 ounces of alcohol within 30 minutes and Group B ingested the equivalent of 3.0 ounces of alcohol within 60 minutes. Subjects’ error scores are listed below.
Group
Control 3.0 ounces 1.5 ounces
A B C
3 9 1
1 10 0
5 15 5
0 11 2
2 12 3
0 14 6
1 15 7
1 16 8
2 14 4
Chapter 13
Researchers randomly selected 5 college students and measured average minutes spent working out 8 weeks, 6 weeks, 4 weeks, and 2 weeks before Spring Break. They found the following results:
Weeks
Subjects
8
6
4
2
A
40
42
46
56
B 34 33 41 52
C 39 40 49 52
D 38 39 44 55
E 44 46 50 60
12)
For the given data, using One-way ANOVA,
a)
The hypotheses are:
Ho: µ1 = µ2 = µ3 = µ4
H1: not all means are equal
b)
Degrees of freedom: DF1 = 2, DF2 = 24
Alpha = 0.05
F Critical value = 3.403 (Using calculator)
c) F-ratio value = 58.7655 = 58.766
d)
F- value > F- critical value, so we reject H0
Reject the null hypothesis. There is suffiecient evidence to conclude that all the means are not equal
13)
Ho: µ1=µ2=µ3=µ4
H1: not all means are equal
8 week | 6 week | 4 wek | 2 week | |||
count, ni = | 5 | 5 | 5 | 5 | ||
mean , x̅ i = | 39.000 | 40.00 | 40.00 | 55.00 | ||
std. dev., si = | 3.606 | 4.743 | 12.186 | 3.32 | ||
sample variances, si^2 = | 13.000 | 22.500 | 148.500 | 11.000 | ||
total sum | 195 | 200 | 200 | 275 | 870 | (grand sum) |
grand mean , x̅̅ = | Σni*x̅i/Σni = | 43.50 |
square of deviation of sample mean from grand mean,( x̅ - x̅̅)² | 20.250 | 12.250 | 12.250 | 132.250 | |
TOTAL | |||||
SS(between)= SSB = Σn( x̅ - x̅̅)² = | 101.250 | 61.250 | 61.250 | 661.250 | 885 |
SS(within ) = SSW = Σ(n-1)s² = | 52.000 | 90.000 | 594.000 | 44.000 | 780.0000 |
no. of treatment , k = 4
df between = k-1 = 3
N = Σn = 20
df within = N-k = 16
mean square between groups , MSB = SSB/k-1 =
295.0000
mean square within groups , MSW = SSW/N-k =
48.7500
anova table | ||||||
SS | df | MS | F | p-value | F-critical | |
Between: | 885.00 | 3 | 295.00 | 6.05 | 0.0059 | 5.29 |
Within: | 780.00 | 16 | 48.75 | |||
Total: | 1665.00 | 19 |
α =
0.01
conclusion : p-value<α , reject null hypothesis
.....
F |
6.05 |
effect size =885.00/1665.00
=0.532
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