DATA ANALYSIS LAB

Paper Code: 
GBCA 202B
Credits: 
03
Periods/week: 
06
Max. Marks: 
100.00
Objective: 

This course will enable the students to:

  • Understand the role of statistics in data analysis.
  • Apply statistical techniques to research data for analyzing and interpreting data carefully.
     

Contents:

Note:  Students should be given hands-on experiences to use appropriate software packages for selected statistical analysis.

The following test should be performed using appropriate software packages

  • Formation of frequency distribution table (inclusive and exclusive)
  • Graphical representation- histogram, frequency polygon,  ogives
  • Measures of Central Tendency- Mean, Median and Mode
  • absolute and relative Measures of Dispersion- range, Quartile Deviation, Mean Deviation, Standard Deviation
  • Coefficient of correlation- karl pearson and spearmens rank
  • Fitting of Regression lines and prediction.
  • Normal Distribution-area under the curve
  • Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc contingency tables, testing of single variance
  • Application of Student’s t-test for small samples- test of significance of single mean, difference in means, independent and paired T test.
  • F-test for two sample variances.
  • Analysis of Variance- one-way classification ,two-way classification
Academic Year: 
2019-20
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