Applied Statistics

Paper Code: 
HHD 226
Credits: 
3
Contact Hours: 
3.00
Max. Marks: 
100.00
Objective: 

This course will enable the students to:

  •  Understand the role of statistics  and computer applications in research.
  •  Apply statistical techniques to research data for analyzing and interpreting data carefully.
45.00

Contents:

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

 

  1. Frequency distribution, histogram, frequency polygons,  ogive.
  2. Measures of Central Tendency, Measures of Variation.
  3. Coefficient of correlation, Regression and prediction.
  4. Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc contingency tables.
  5. Application of Student’s t-test for small samples- test of significance of single mean, difference in means, independent and paired T test..
  6. F-test for two sample variances.
  7. Analysis of Variance- one-way classification ,two-way classification with and without replication.

 

 

Academic Year: 
2018-2019
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