Applied Statistics (Practical)

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

 

Course Objectives:

This course will enable the students to –

 

1.       Understand the role of statistics and computer applications in research.

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

 

 

 

Course outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

  
 

The students will be able to –

COFN49: The Students are able to Enter, Organize, and Save data in a SPSS

COFN 50 : Learn to Create variables and Enter data for Analysis in SPSS.

COFN 51 : Students will be able to describe data using Descriptive Statistics & Graphs in SPSS.

COFN 52 : Able to Examine Relationships between variables by using Correlation technique.

COFN 53 : Able to carry out a Statistical Analysis that can test hypotheses.

COFN 54: From Testing of Hypothesis Portion Students will learn to Compare groups to determine if there are significant differences between those groups or not.

Approach in teaching:

Interactive Lectures, Discussion, Power Point Presentations, Informative videos, group discussion

 

Learning activities for the students:

Self learning assignments, Effective questions, presentations, Field trips

Quiz, Poster Presentations,

Power Point Presentations, Individual and group projects,

Open Book Test, Semester End Examination, discussion, demonstration

  
 

 

 

Contents:

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

The following test should be perform on computer

  • Frequency distribution, histogram, frequency polygons,  ogive.
  • Measures of Central Tendency, Measures of Variation.
  • Coefficient of correlation, Regression and prediction.
  • Chi-square tests- Goodness of fit, Independence of Attributes 2x2 and rxc contingency tables.
  • 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 with and without replication

Essential Readings: 
  1. Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
  2. Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahbad.
     
References: 
  1. Simpson and Kafka: Basic Statistics, Oxford and IBH Publishers.
  2. Goon, Gupta and Das: Fundamentals of Statistics Vol. I and II.
  3. Snedecor and Cochran: Statistical Methods, Oxford and IBH Publishers.
  4. Shukla,M.C. and Gulshan S.S.: Statistics Theory and Practice, Sultan Chand and Company, New Delhi.
  5. Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi
     
Academic Year: 
2018-2019
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