Here we use one way anova test ,
Hypothesis:
Ho: There is no difference in mean SBP among treatments.
V/s
H1: There is difference in mean SBP among treatments.
Using excel data analysis toolpack,
Excel => Data => Data Analysis => ANOVA: single
factor => input range => ok
| Standard Treatment |
Placebo |
New Treatment |
| 123 |
133 |
113 |
| 110 |
144 |
118 |
| 134 |
147 |
121 |
| 126 |
140 |
123 |
| 127 |
155 |
124 |
| 116 |
162 |
130 |
| Anova: Single Factor |
|
|
|
|
|
|
|
|
|
| SUMMARY |
|
|
|
|
| Groups |
Count |
Sum |
Average |
Variance |
| Standard Treatment |
6 |
736 |
122.6667 |
72.66667 |
| Placebo |
6 |
881 |
146.8333 |
108.5667 |
| New Treatment |
6 |
729 |
121.5 |
33.1 |
| ANOVA |
|
|
|
|
|
|
| Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
| Between Groups |
2454.333 |
2 |
1227.167 |
17.17652 |
0.000132 |
3.68232 |
| Within Groups |
1071.667 |
15 |
71.44444 |
|
|
|
|
|
|
|
|
|
|
| Total |
3526 |
17 |
|
|
|
|
Here p-value = 0.000132 < alpha=0.05 then we reject Ho and
conclude that, there is difference in mean SBP among
treatments.
