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# STPP.pptx

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### STPP.pptx

1. 1. Statistics Md Muktadir Islam ID: 2223031014 Analyzing Dataset using SPSS Presented to Syed Shahadat Hossain, Ph.D Professor, ISRT, DU Presented by Md Muktadir Islam ID: 2223031014
2. 2. Variable Selection for Analysis Sample 9
3. 3. Sample 9 Data View Number of Individual data: 57
4. 4. Educational Level Skewness: .040/.316 = 0.126 (between -1.96 to +1.96) Kurtosis: .066/.623 = 0.106 (between -1.96 to +1.96)
5. 5. Lowest Education level 8 years 25% of the employee have 12 years of Education 75% of the employee have 16 years Education Highest Education Level 21 years Stem and leaf display of Education Level Box plot of Education Level Right skewed
6. 6. Beginning Salary Skewness: 1.939/.316 = 6.136 (not between -1.96 to +1.96) Kurtosis: 3.764/.623 = 6.041 (not between -1.96 to +1.96)
7. 7. Mode 12
8. 8. 25% of the Employee get \$ 12,450 as their Beginning Salary 75% of the Employee get \$ 18,750 as their Beginning Salary Box plot of Beginning Salary Stem and leaf display of Beginning Salary left skewed 7 outliers
9. 9. Correlation Analysis  Education Level  Beginning Salary
10. 10. Independent Variable : Education Level Dependent Variable : Beginning Salary R Square= 43% , So 43% of the variability of Beginning Salary can be explained through educational level Coefficients of Determiner
11. 11. Linear Relationship in Graphs
12. 12. Regression Analysis If the educational level increased by 1 year the beginning salary will be increased by 1757.943 dollars. The educational level significantly influences the beginning salary
13. 13. Let, Ho: µ=21,000, Ha: µ < 21,000 Since the significance value is less than 0.05 , so it can be said that there is enough evidence to reject null hypothesis. HypothesisTesting of Beginning Salary
14. 14. Hypothesis Testing of Educational Level Let, Ho: µ=16, Ha: µ ≠16 Since the significance value is less than 0.05 , so it can be said that there is enough evidence to reject null hypothesis.
15. 15. Thank You