Applied Statistics (Practical)

Paper Code: 
24HCT226
Credits: 
4
Contact Hours: 
60.00
Max. Marks: 
100.00
Objective: 
  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: 

Course

Learning outcomes

(at course level)

Learning and teaching strategies

Assessment

Strategies

Course Code

Course Title

 

 

 

 

 

 

 

24HCT 226

 

 

 

Applied Statistics

(Practical)

 

COCT63:Aapply SPSS skills to manage data, including entering, organizing, saving, creating variables, and entering data for analysis.

COCT64:Describe data using Descriptive Statistics & Graphs in SPSS.

COCT65:Examine Relationships between variables by using Correlation & Regression technique.

COHD66:Analyze and evaluate statistical hypotheses by comparing groups to determine significance

COHD67:Compile comprehensive practical records for numerical problems related to describing data, examine relationship and for comparing groups using SPSS.

COCT68:Contribute effectively in course specific interaction

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

  • 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 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

 

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.
  1. Gupta, S.C. and Kapoor V.K.: Fundamental of Mathematical Statistics, Sultan Chand and Company, New Delhi.

e-Resources:

  1. https://courses.lumenlearning.com/introstats1/chapter/histograms-frequen...
  2. https://www.slideshare.net/RheaTiemsem1/5-one-way-and-two-way-classification-analysis-of-variance-p10ap10bp11ap11bp12ap12bpdf
  3. https://saylordotorg.github.io/text_introductory-statistics/s15-03-f-tes...

Semester End Examination

Component

Marks

Major

(Experiment- I)

40

Major

(Experiment- II)

15

File

05

Viva Voce

10

Total

70

 

 

Academic Year: 
2024-2025
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