Statistics

Assignment

Assignment

Statistical Analysis

The statistical test that is appropriate for the study is the analysis of variance test. The analysis of variance is a statistical test which verifies several samples from the same population. This test applies when measuring one or more categorical variables that have influence on the distribution of a continuous variable. Analysis of variance in relation to the related problem and data allows studying the behavior of a continuous variable to explain the basis of one or more categorical variables. Analysis of variance refers to a large group of analytical data and structure be tested according to the statistical methods which allow the wide range of applications. The variance of target variables that is VO2max is determined by the influence of one or more predictor variables that include stature, mass, age and peak power.

Results

The results section of the study comprises on three parts as the results are based on acetaminophen, aspirin and placebo. In the given below, the table represents the results pertaining to acetaminophen;

ANOVA

Sum of Squares

df

Mean Square

F

Sig.

Stature - Acetaminophen

Between Groups

.017

8

.002

1.232

.478

Within Groups

.005

3

.002

Total

.022

11

Mass - Acetaminophen

Between Groups

132.667

8

16.583

.905

.598

Within Groups

55.000

3

18.333

Total

187.667

11

Age - Acetaminophen

Between Groups

40.417

8

5.052

.919

.592

Within Groups

16.500

3

5.500

Total

56.917

11

Peak Power - Acetaminophen

Between Groups

2391.667

8

298.958

1.794

.342

Within Groups

500.000

3

166.667

Total

2891.667

11

From the above table, it can be observed that the analysis of variance table is showing the between the subjects ANOVA, in which the significance value of with reference to VO2max, stature for acetaminophen, mass for acetaminophen, age for acetaminophen and peak power for acetaminophen will help in determining if the condition means are comparatively the same or if the condition means are significantly different with each other. Put differently, the significance value will also help in determining if acetaminophen had an effect on stature for VO2max.

In the above given case, the significance value of stature in relation to VO2max, for acetaminophen, mass for acetaminophen, age for acetaminophen and peak power for acetaminophen are 0.487, 0.598, 0.592 and 0.342 respectively which shows that the significance value is greater than 0.05. For that reason, it can be said that there is no statistically significant difference between the conditions. Moreover, it can also be said that the dissimilarity between means condition are probable due to chance and not likely due to the manipulation.

ANOVA

Sum of Squares

df

Mean Square

F

Sig.

Stature - Aspirin

Between Groups

.010

9

.001

.654

.732

Within Groups

.003

2

.002

Total

.014

11

Mass - Aspirin

Between Groups

180.250

9

20.028

2.146

.358

Within Groups

18.667

2

9.333

Total

198.917

11

Age - Aspirin

Between Groups

55.583

9

6.176

4.632

.190

Within Groups

2.667

2

1.333

Total

58.250

11

Peak Power - Aspirin

Between Groups

2300.000

9

255.556

.639

.739

Within Groups

800.000

2

400.000

Total

3100.000

11

The above table is showing the results pertaining to aspirin from which, it can be observed that the ANOVA table is presenting the between ...