SAMPLE SIZE Motivation as a Improving the efficiency workers in public sector is a specialized area and demand only those knowledgeable in the field to fill the questionnaire. As a result, only 80 person out of 100 person were considered representative enough to enable a reliable generalised state to be realised. The above sample size was obtained using Yaro Yamen formula. n = N 1 + N (e)2 Where n = Sample size N = Population e = Error of estimate = 5% I = Constant Where N = 100 e = 0.05 n = 100 1 + 100 (0.05)2 n = 100 1 + 0.25 100 1.25 = 80 ans 3.7 METHOD OF DATA ANALYSIS The researcher having identified these questions that tested the particular research question of the study, now converted the figure get as responses for a specific research question into percentages for a specific group of questions of one particular research questions. In other words, each question was assigned to table in which illustrations regarding it were made. Furthermore, the responses were grouped into main categories showing the extent of acceptability by the respondents such as: Agreed, Strongly Agree, Disagree and Strongly disagree. CHAPTER FOUR 4.0 PRESENTATION AND ANALYSIS OF DATA In this data that were considered relevant to the objective of this study were selected and analyzed. The data collected from the questionnaires will be interpreted using the chi-square because it give accurate solution ion the problem identified in the questionnaire. This will reveal whether or not the problem of improving the efficiency workers in public sector. It also focused on the analysis of general characteristic of respondents and empirical test of two hypothesis using the chi-square technique and concluded by stating the decision rule. 4.1 ANALYSIS OF GENERAL CHARACTERISTIC OF RESPONDENTS Table 1: Distribution and return of questionnaire Questionnaire Number Percentage % Total unreturned Total returned Total distributed 30 50 80 37.5% 62.5% 100% From table one, the researcher distributed 80 questionnaires to the staff, of which 50 answered questions were returned and 30 were not returned. Research Question No 1 Table 2: Option No of respondents Percentage % Yes No 42 8 84% 16% Total 50 100% Research Question 2 Table 3: Option No of respondents Percentage % Deflation Theft Forgeries Non of the above 11 5 34 0 22% 10% 60% 0 Total 50 100% Research Question 3 Table 4 Option No of respondents Percentage % Greed Poor condition of services Societal values 40 6 4 80% 12% 85 Total 50 100% Research Question 5 Table 5: Option No of respondents Percentage % Yes No 20 30 40% 60% Total 50 100% Research Question 6 Table 6: Option No of respondents Percentage % Effective partially Effective Ineffective 38 12 Nil 76% 24% Nil Total 50 100% Research Question 7 Table 7 Option No of respondents Percentage % Yes No 45 5 90% 10% Total 50 100% Research Question 8 Table 8 Option No of respondents Percentage % Less than 30 min More than 30 min About 1 39 11 50 78% 22% 100% Research Question 11 Table 9: Can fraud be prevented in banking industry Option No of respondents Percentage % Yes No 39 11 78% 22% Total 50 100% Research Question 15 Table 10: Option No of respondents Percentage % Fear Involvement Indifference 26 18 6 52% 36% 12% Total 50 100% Research Question 16 Table 11: Option No of respondents Percentage % Utmost Seriousness Middy Indifference 50 Nil Nil 50 100% Nil Nil 100%