(See Solution) A physician who specializes in weight control has three different diets she recommends. As an experiment, she randomly selected 15 patients and
Question: A physician who specializes in weight control has three different diets she recommends. As an experiment, she randomly selected 15 patients and then assigned 5 to each diet. After three weeks, the following weight losses, in pounds, were noted. At the .05 significance level, can she conclude that there is a difference in the mean amount of weight loss among the three diets?
| Plan A | Plan B | Plan C |
| 5 | 6 | 7 |
| 7 | 7 | 8 |
| 4 | 7 | 9 |
| 5 | 5 | 8 |
| 4 | 6 | 9 |
- State the null hypothesis and alternative hypothesis.
- What is the decision rule?
- Read this carefully . Compute SS total, SSE, and SST. If you calculate manually, use the table that begins on p. 6 (below) to do your calculations. If you use Excel or any other software to calculate your SS total, SSE, and SST, you must embed your Excel spreadsheet/worksheet into this section. In either case, manually or Excel, place your calculations on SS total, SSE, and SST in the ANOVA table below.
- Complete an ANOVA table. Place your answers in the appropriate box below.
| Source of Variation | Sum of Squares | Degrees of Freedom | Mean Squares | F |
e. What is your decision?
ANOVA Worksheet for Manual Calculation
| Treatment 1 | Treatment 2 | Treatment 3 | ||||
| X | X 2 | X | X 2 | X | X 2 | Total |
| T c = |
\[\sum{{}}\]
x=
( \[\sum{{}}\] x) 2 /n = |
|||||
| n c = | ||||||
| X 2 = | \[\sum{{}}\] X 2 = | |||||
SS total = \[\sum{X}\] 2 - ( \[\sum{X}\] ) 2 / n
\[\sum{X}\] 2 is the X values squared and then summed( \[\sum{X}\] ) 2 is the X values summed and then squared
n is the total number of observations
Sum of Squares Treatment = SST = \[\sum{{}}\] (T 2 c / n c ) - ( \[\sum{X}\] ) 2 / n
T 2 c is the column total for each treatment
n c is the number of observations (sample size) for each treatment
Sum of Squares Error = SSE = SS total – SST
Deliverable: Word Document 