TABLE OF CONTENTS

Contents

QUESTION A.. 2

QUESTION B.. s3

QUESTION D.. 9

(E) CONCLUSION AND RECOMMENDATIONS ON FINDINGS, HYPOTHESIS BY HYPOTHESIS  11

QUESTION A

1. Study problem

In the analysis of the performance of students it has been revealed that there is a constant failure by the students to pass their exams with good marks as expected. The poor performance by the students therefore has warranted the researcher to investigate into the influence of age, study sessions on academic performance.

1. Purpose of the study

The purpose of the study is to investigate into influence of age, study sessions on academic performance.

• Objectives of the study

To analyze the relationship between age of the student with academic performance

To investigate the age of the student on academic performance.

To examine the relationship between study sessions and academic performance.

1. Hypothesis

There is no relationship between age of the student and academic performance.

Study sessions has no significant relationship with academic performance.

QUESTION B

1. Respondents by study sessions

Steps in entering data

Opening SPSS              TYPING “SESSIONS” IN NAME COLUMNS, “NUMERIC” ON TYPE

LABEL = STUDY SESSIONS

VALUE = 1 DAY, 2=EVENING

MEASURE = NORMINAL

VIEW OF THE SESSIONS BEING ENTERED IN SPSS

Frequencies and valid percentages for study sessions

1. II) RESPODENTS BY AGE

THE SPSS view of the data which has been entered of age of the respondents

STEPS THAT WAS FOLLOWED

NAME= AGE

TYPE=NUMERIC

LABEL = AGE IN YEARS

MEASURE = ORDINAL

The mean age was 38 while the standard deviation was 7.616

1. Respondents by academic performance

STEPS THAT WAS FOLLOWED

NAME              = AGE

TYPE                =NUMERIC

LABEL             = AGE IN YEARS

MEASURE      = ORDINAL

It can be observed from the findings that the mean percentage score was 61.90 while the standard deviation was 10.170.

QUESTION C

1. Hypothesis

Study session’s have significant effect on academic performance

Study sessions do not have significant relationship on academic performance

1. Statistical tool

The study will use ANOVA (Analysis of variance)

• Scatter graph

The steps included

CHART BUILDER

SCATTER GRAPH

SIMPLE SCATTER GRAPH

Then enter the variables study sessions and  academic performance\

SCATTER GRAPH

From the scatter graph it is evident that there is relationship between study sessions and academic performance.

1. ANALYSIS OF VARIANCE (ANOVA)

Findings from the table above indicates that the P-value 0.981 indicates there is insignificant relationship between study relationship and academic performance.

1. Interpretation of results

These findings in the study therefore indicates that there is no relationship between study session and academic performance.

QUESTION D

• Hypotheses

H₁   :  There is a significant relationship between age and academic performance

H₂    ;  Age does not affect academic performance

(ii) Statistical tool

The study will use Pearson product moment correlation analysis

(iii) Scatter graph

The graph shows that there is a weak relationship between age and academic performance of the students.

• IBM SPSS

Steps

Analyze               correlation                        Bivariate                variables               ok

The table results indicates that P-Value (0.370>0.05) the results indicates that there is no significant relationship between  age and performance score of students.

(V) Interpretation of the results

According to the table above the Pearson rank correlation coefficient = -0.318 indicating that there is a weak negative relationship between age of students and the performance score.

 (E) CONCLUSION AND RECOMMENDATIONS ON FINDINGS, HYPOTHESIS BY HYPOTHESIS

(i) Conclusion

On regarding the hypothesis of

• There is statistically significant relationship between study sessions and performance score

There is insignificant relationship between study sessions and performance score

• Age affects performance score of the students.

There is insignificant relationship between age and academic performance. This analysis further shows that the age of the students does not matter on the performance score of the students.

 (i) Recommendations

The school should provide a good learning environment.

The school should also provide the necessary facilities that facilitates learning.

Students should be admitted regardless of their age.

Whether day or evening students should be admitted to study.