... £42k and that the male & female salaries are equal-is not valid as proved. * There are salary-variances among the various grades of the organisation. * Education and 'Number of years of experience' are the main factors contributing towards the salary of the staff member. 1 EXECUTIVE SUMMARY 2 2 AIM OF THE ANALYSIS 5 3 BACKGROUND INFORMATION TO DATASET 5 4 DATA ANALYSIS 6 4.1 HISTOGRAMS 6 4.1.1 Bin and Frequency Calculation 6 4.1.2 Histogram Chart 7 4.1.3 Histogram Interpretation 8 4.2 DESCRIPTIVE STATISTICS 8 4.2.1 Descriptive Statistics Table 8 4.2.2 Interpretation 8 4.3 CONFIDENCE INTERVAL 9 4.4 HYPOTHESIS TEST 9 4.5 EQUAL SALARIES FOR MALE AND FEMALE STAFF 10 4.5.1 Method 1: Two Sample 10 4.5.2 Method 2: Paired Two Sample 11 4.6 ANALYSIS OF VARIANCE 12 4.6.1 Method 12 4.6.2 Analysis of Variance Table 12 4.6.3 Interpretation 12 4.7 CORRELATION 13 4.7.1 Method 13 4.7.2 Education Correlation 13 4.7.3 Education Correlation Interpretation 13 4.7.4 Education Chart 15 4.7.5 Experience Correlation 17 4.7.6 Experience Correlation Interpretation 17 4.7.7 Experience Chart 18 4.8 REGRESSION 20 4.8.1 Method 20 4.8.2 Education Regression Table 20 4.8.3 Education Regression Interpretation 21 4.8.4 Experience Regression Table 22 4.8.5 Experience Regression Interpretation 22 4.9 MULTIPLE REGRESSION 23 4.9.1 Method 23 4.9.2 Education and Experience Regression Table 23 4.9.3 Interpretation 23 5 LIMITATIONS OF ANALYSIS 24 5.1 HISTOGRAMS 24 5.1.1 Histogram Chart 25 5.1.2 Interpretation 26 5.2 SAMPLING DATA 26 6 CONCLUSION 27 7 APPENDICES 28 7.1 DATASET LEGEND 28 7.2 DATASET SAMPLE 29 8 BIBLIOGRAPHY 30 2 AIM OF THE ANALYSIS The Aim of this assignment is: 1. To assess the salaries and the factors which contribute towards the same. 2. To assess the salary variance (if any) with particular respect to * Male and female staff * Grade within the organisation 3 BACKGROUND ...

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