In: Statistics and Probability
A Internet food delivery company advertises that it has 3 different diets that will result in weight loss if strictly followed. One diet is advertised as a moderate weight loss, a second offers a slightly more aggressive weight reduction program, and a third that is the most aggressive weight loss. The company gathers some data by taking a random sample from people using the different diets at the end of a two months trial. The data on weight loss are recorded below.
Diet 1 |
Diet 2 |
Diet 3 |
5 |
7 |
12 |
7 |
11 |
15 |
9 |
13 |
17 |
11 |
17 |
20 |
Quantitative data as all the values are numerical.
Yes as the random sample of people is used.
Yes as the type of diet will affect weight loss.
Null hypothesis | All means are equal |
Alternative hypothesis | Not all means are equal |
Significance level | α = 0.05 |
Equal variances were assumed for the analysis.
Factor Information
Factor | Levels | Values |
Factor | 3 | Diet 1, Diet 2, Diet 3 |
Analysis of Variance
Source | DF | Adj SS | Adj MS | F-Value | P-Value |
Factor | 2 | 128.0 | 64.00 | 5.43 | 0.028 |
Error | 9 | 106.0 | 11.78 | ||
Total | 11 | 234.0 |
Since the p-value (0.028) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we cannot conclude that the weight losses are equal with the three diets.
Factor | N | Mean | StDev | 95% CI |
Diet 1 | 4 | 8.00 | 2.58 | (4.12, 11.88) |
Diet 2 | 4 | 12.00 | 4.16 | (8.12, 15.88) |
Diet 3 | 4 | 16.00 | 3.37 | (12.12, 19.88) |
Pooled StDev = 3.43188
The weight losses are equal with the three diets.