PERFORMANCE

Performance



Performance

Task A

Executive Summary

The aim of this study is to analyze the performance of first year students with respect to age, gender and region of students. In this report we examine the impact of student's Maths performance with respect to other subjects. The average score of students in different sujects is also analyze to predict the future performance of Students.

Introduction

The purpose of this part of assignment is to analyze the correlation of demographics of students. In this task the impact of region on age and gender of students is estimated. In this section the performance of first year students is examine who takes the following subjects:

In 1st year the students take the following nine units:

BMAN10001 (10) - Economic Principles : Microeconomics

BMAN10621(M) (10) - Fundamentals of Financial Reporting

BMAN10632(M) (10) - Fundamentals of Management Accounting

BMAN10732 (10) - Quantitative Methods for Bus & Mgmt 2

BMAN10780 (10) - Business & Management Skills

BMAN10791 (10) - People and Organisations

BMAN10801 (10) - Introduction to Work Psychology

BMAN10821 (10) - Quantitative Methods for B&M 1

BMAN10842 (10) - Law in a Management Context

And choose three of these four of these units

BMAN10002 (10) - Economic Principles : Macroeconomics

BMAN10522(M) (10) - Financial Decision Making (M)

BMAN10812 (10) - The Modern Corporation

BMAN10852 (10) - Management in Society

Analysis

To test the there is any difference in 1st year performance for ppl in diff region/gender/ Age.

One-Sample Statistics

N

Mean

Std. Deviation

Std. Error Mean

Performance

118

.49

.502

.047

region/gender/ Age

118

2.63

3.412

.317

One-Sample Test

Test Value = 0

t

df

Sig. (2-tailed)

Mean Difference

95% Confidence Interval of the Difference

Lower

Upper

Performance

10.540

117

.000

.491

.40

.58

region/gender/ Age

8.299

117

.000

2.629

2.00

3.26

Mean and st.dev of first year students performance is mean=.49 and st.dev=.502 and for region/gender/ Age mean= 2.63 and st.dev=3.412. we run a t test for examine the association among the two variables (performance and region/gender/ Age) value of t calculated is = 10.540 and 8.299 df = 117 and 117 simultaneousely.

As p value is less than .05 so we can say that performance have a significant differences in region/gender/ Age or we can say that these two variables have effect on each other.

Correlation Analysis

Correlations

Region

Age

Gender

Region

Pearson Correlation

1

-.174**

.110

Sig. (2-tailed)

.007

.091

N

236

236

236

Age

Pearson Correlation

-.174**

1

-.025

Sig. (2-tailed)

.007

.702

N

236

236

236

Gender

Pearson Correlation

.110

-.025

1

Sig. (2-tailed)

.091

.702

N

236

236

236

**. Correlation is significant at the 0.01 level (2-tailed).

The correlation among age group and region (r =-.174, p = .007) a negative value of Pearson correlation is reported in the above table so it can be said that a negative association exists among the two variables or region doesn't have any impact on the age group of students.

The correlation among gender and region (r =0.110, p = .091) a positive value of Pearson correlation is reported in the above table so it can be said that a positive association exists among the two variables or region have an impact on the gender of students.

The correlation among gender and age group (r =-.025, p = .702) a negative value of Pearson correlation is reported in the above table so it can be said that a negative association exists among the two variables or age group doesn't have any impact on the gender of students.

Chi Square Test

Age * Gender Crosstabulation

Count

Gender

Total

Male

Female

Age

Mature

13

17

30

Regular

97

109

206

Total

110

126

236

Most of the students are from regular age group and are ...