In: Statistics and Probability
Healthy |
Autoimmune |
Cancer |
|
Number of People Eaten |
59 |
22 |
25 |
48 |
23 |
30 |
|
61 |
19 |
29 |
Complete the ANOVA Table below (please use the back of this page
for your manual calculations – SHOW YOUR WORK!!),
and below the ANOVA Table, write your conclusion and
interpretation of the results of your ANOVA
test.
ANOVA Table:
Source of Variation |
SS |
df |
MS |
F statistic |
Between Samples |
||||
Within Samples |
||||
Total |
(leave blank) |
Critical F (Fc):
Conclusion & Interpretation:
From the data values,
Healthy | Autoimmune | Cancer | |
59 | 22 | 25 | |
48 | 23 | 30 | |
61 | 19 | 29 | |
168 |
64 |
84 |
|
56 |
21.333 |
28 |
|
9506 |
1374 |
2366 |
|
SD |
7 |
2.082 |
2.646 |
98 |
8.666667 |
14 |
|
n |
3 |
3 |
3 |
Where, 'i' represent rows and 'j' represents column
The degree of freedom values are,
The sum of square values are,
Where,
The means squares are computed using the formula,
The F-statistic values is obtained using the formula,
The F-critical value
The F-critical value is obtained from F-distribution table for significance level = 0.05, numerator degree of freedom = 2 and denominator degree of freedom = 6
Conclusion,
Since,
The null hypothesis is rejected, hence we can conclude that there is a significant difference in mean number of people eaten by zombies.
The ANOVA table is shown below,
ANOVA | |||||
Source of Variation | SS | df | MS | F | F crit |
Between Groups | 2030.222 | 2 | 1015.111 | 50.47514 | 5.143253 |
Within Groups | 120.6667 | 6 | 20.11111 | ||
Total | 2150.889 | 8 |