APPLIED STATISTICS (PRACTICAL)

Paper Code: 
HCT 226
Credits: 
3
Contact Hours: 
45.00
Max. Marks: 
100.00
Objective: 

1.   To understand the role of statistics and computer applications in research.

2.   To apply statistical techniques to research data for analyzing and interpreting data carefully.

 

Content:

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

1.      Frequency distribution, histogram, frequency polygons, ogive.                                                                                                              2Hrs

 

2.      Measures of Central Tendency, Measures of Variation.                                                                                                                             5Hrs

 

3.      Coefficient of correlation, Regression and prediction.                                                                                                                         5Hrs

4. Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc ontingency tables.                                                                                                                                                                                                                               7Hrs

5.  Application of Student’s t-test for small samples- test of significance of single mean, difference in means.                                                                                       4Hrs

6.  F-test for two sample variances.                                                                                                                                                                      3Hrs

 

7.  Analysis of Variance- one-way classification, two-way classification with and without replication.                                                                                                                                                                                                        4Hrs

 

 

4.      Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc ontingency tables.                                                                                                                                                 7Hrs

 

5.      Application of Student’s t-test for small samples- test of significance of single mean, difference in means.                                                                                                  4Hrs

 

6.      F-test for two sample variances.                                                                                 3Hrs

 

7.      Analysis of Variance- one-way classification, two-way classification with and without replication.                                                                                                                  4Hrs

 

 

 

Essential Readings: 
  1. Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.

 

 

References: 
  1. Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
  2. 2. Goon, Gupta and Das: Fundamentals of Statistics Vol. I and II.
  3. 3. Snedecor and Cochran: Statistical Methods, Oxford and IBH Publishers.
  4. 4. Shukla,M.C. and Gulshan S.S.: Statistics Theory and Practice, Sultan Chand and Company, New Delhi.
  5. 5. Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi

 

Academic Year: 
2015-2016
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