Is There an Effect of Acute Exercise on Mood?

by

Results

Participant Profiles

The section below presents the demography of participants who took part in this experiment.

Gender

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Male

26

67.0

67.0

67.0

Female

12

33.0

33.0

100.0

Total

38

100.0

100.0

The above table and pie chart presents the gender distribution of people who took part in this experiment. There were 67 percent male participants who took part in this experiment where as there were 33 percent female participants who took part in this experiment.

Age Group

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

Under 20 years

19

19.0

19.0

19.0

21-25 years

40

40.0

40.0

59.0

26-30 years

40

40.0

40.0

99.0

30-35 years

1

1.0

1.0

100.0

Total

100

100.0

100.0

The above table and pie chart presents the age group distribution of participants who took part in this experiment. There were 40 percent participants who took part in this experiment were from age group 21-25 years and 26-30 years respectively.

ANOVA Results

Null Hypothesis: There is a significance difference between type of exercise and tension.

Alternate Hypothesis: There is no significance difference between type of exercise and tension.

ANOVA

Overall

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

.335

98

.168

.363

.697

Within Groups

44.825

2

.462

Total

45.160

99

We accept null hypothesis because level of significance is greater than .05 and conclude that there is a significance difference among type of exercise and tension or can say that these two variables have positive impact on each other. Moreover, the higher sig. value shows that the difference is quite significant and the type of exercise has a strong impact on tension.

Null Hypothesis: There is a significance difference between type of exercise and depression.

Alternate Hypothesis: There is no significance difference between type of exercise and depression.

NOVA

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

131.586

98

7.310

2.538

.462

Within Groups

2.880

2

2.880

Total

134.466

100

From the above ANOVA table it can be observed that since the sig. value is greater than 0.05, we cannot reject the null hypothesis, therefore, we are in a position to accept the null hypotheses. Thus, there is a significant difference between type of exercise and depression. The value .462 indicates that type of exercise has a strong impact on depression.

Null Hypothesis: There is a significance difference between type of exercise and anger.

Alternate Hypothesis: There is no significance difference between type of exercise and anger.

ANOVA

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

125.586

98

2.845

3.482

.068

Within Groups

3.668

2

3.222

Total

129.254

100

From the above ANOVA table it can be observed that the sig. value is 0.068. Since the value is greater than .05, we cannot reject null hypothesis. Therefore, we are in position to accept the null hypothesis and say that there is a significance difference between type of exercise and anger. The value 0.068 indicates that there is not a strong impact of type of exercise on anger.

Null Hypothesis: There is a significance difference between type of exercise and vigor.

Alternate Hypothesis: There is no significance difference between type of exercise and vigor.

ANOVA

Sum of Squares

df

Mean Square

F

Sig.

Between Groups

119.286

98

3.187

4.018

.217

Within Groups

9.968

2

3.657

Total

129.254

100

From the above ANOVA table it can be observed that the sig. value is 0.217. Since the value is greater than .05, we cannot reject null hypothesis. Therefore, we are in position to accept the null hypothesis and say that there is a significance difference between type of exercise and vigor. The value 0.217 indicates that there is a moderate impact of type of exercise on vigor.

Null Hypothesis: There is a significance difference between type of ...