Statistical Analysis

Statistical Analysis

Statistical analysis

Research method

A population of one hundred (100) members to discover if they would vote or endorse a candidate for District Governor if they were aware the candidate was a leadership course graduate. They were divided into five categories:

Type A, were members who are Past District Governors;

Type B, members who have held other leadership offices in the district;

Type C, members who are currently holding leadership positions;

Type D, members who hold no office but graduated from a the leadership course;

Type E, members who hold no office and did not graduate from a leadership course.

The Expected Frequency if there was no preference amongst members would be a distribution of 20, (100/5), this represent a uniform probability of distribution.

The Observed Frequency is A=32, B=16, C=28, D=10, E=14.

Frequency Distribution

participant

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

type A

32

32.0

32.0

32.0

Typr B

16

16.0

16.0

48.0

Type C

28

28.0

28.0

76.0

Type D

10

10.0

10.0

86.0

Type E

14

14.0

14.0

100.0

Total

100

100.0

100.0

Cross Table:

Case Processing Summary

Cases

Valid

Missing

Total

N

Percent

N

Percent

N

Percent

participant * VAR00002

100

100.0%

0

.0%

100

100.0%

participant * VAR00002 Crosstabulation

VAR00002

Total

no

yes

participant

type A

Count

20

12

32

% within participant

62.5%

37.5%

100.0%

Typr B

Count

8

8

16

% within participant

50.0%

50.0%

100.0%

Type C

Count

6

22

28

% within participant

21.4%

78.6%

100.0%

Type D

Count

4

6

10

% within participant

40.0%

60.0%

100.0%

Type E

Count

4

10

14

% within participant

28.6%

71.4%

100.0%

Total

Count

42

58

100

% within participant

42.0%

58.0%

100.0%

From the above table it can be figured out that 37.5% of the participants in type A, would vote or endorse a candidate for District Governor if they were aware the candidate was a leadership course graduate.

50.0% of the respondents in type B would vote or endorse a candidate for District Governor if they were aware the candidate was a leadership course graduate.

78.6% % of the respondents in type C would vote or endorse a candidate for District Governor if they were aware the candidate was a leadership course graduate.

71.4% of the respondents in type D would vote or endorse a candidate for District Governor if they were aware the candidate was a leadership course graduate.

60.0% of the respondents in type E would vote or endorse a candidate for District Governor if they were aware the candidate was a leadership course graduate.

ANOVA

One-way analysis of variance (ANOVA) tests allow you to determine if one given factor, such as drug treatment, has a significant effect on gene expression behavior across any of the groups under study. A significant p-value resulting from a 1-way ANOVA test would indicate that a gene is differentially expressed in at least one of the groups analyzed. If there are more than two groups being analyzed, however, the 1-way ANOVA does not specifically indicate which pair of groups exhibits statistical differences. Post Hoc tests can be applied in this ...