Data Analysis Using Correlation And ANOVA Data Analysis

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DATA ANALYSIS

Problem 1

Answer the question: Does practice time make a difference? Support your answer with your findings.

The ANOVA single factor test was used to determine whether there was a difference in the swimming time by practice time. ANOVA was calculated using the following steps:

i) Present the data in three columns by practice time as shown:

less than 15 (1)

15-25 (2)

greater than 25(3)

58.7

64.4

68

55.3

55.8

65.9

61.8

58.7

54.7

49.5

54.7

53.6

64.5

52.7

58.7

61

67.8

58.7

65.7

61.6

65.7

51.4

58.7

66.5

53.6

54.6

56.7

59

51.5

55.4

54.7

51.5

61.4

54.8

56.9

57.2

ii) State the null and alternative hypotheses

Ho: all means are equal

HA: all means are not equal

iii) Run a single-factor ANOVA using the data analysis tool on Excel. The results are presented below:

Anova: Single Factor

SUMMARY

Groups

Count

Sum

Average

Variance

Column 1

10

580.5

58.05

29.87833

Column 2

13

753.5

57.96154

22.68423

Column 3

13

767.4

59.03077

31.07897

ANOVA

Source of Variation

SS

df

MS

F

P-value

F crit

Between Groups

8.868760684

2

4.43438

0.160092

0.852723

3.284918

Within Groups

914.0634615

33

27.69889

Total

922.9322222

35

Implication: The F statistic (0.16) is less than the F critical (3.29). Further, the F-statistic is yields a p-value of 0.853, which is greater than p?0.05, implying that the differences in means is not significant at the .05 level of significance and hence, we accept the null hypothesis. This implies that there is no difference in swimming time by the number of practice hours. As such, practice time does not make a difference in swimming time.

Problem 2

1. Compute the correlation between motivation (x) and GPA (y).

Correlation indicates the strength and direction of the association between two variables. It is computed using the formula:

The steps in computing the correlation...…between motivation and GPA, thus the more one studies. As shown by the scatter plot, higer values if motivation are associated with higher GPA scores and the scores increase with increases in motivation levels. For instance, at a motivation level of 2, the average GPA score is 2, at a motivation of 6, the averae GPA score is 2.8, and at a motivation score of 9, the average GPA score is 3.2. Thus, we can conclude that the more one is motivated, the more they will study. However, the many scatter plots outside the trend line indicates that GPA is influenced by other factors besides motivation. Thus,…

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