Coming soon
APPLIED STATISTICS (Practical)
This course will enable the students –
- Understand the role of statistics and computer applications in research.
- Apply statistical techniques to research data for analyzing and interpreting data carefully.
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Course |
Learning outcomes (at course level) |
Learning and teaching strategies |
Assessment Strategies |
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Course Code |
Course Title |
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25HCT226 |
Applied Statistics (Practical)
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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
- Gupta, S.P.: Statistical Methods, Sultan Chand and Company, New Delhi.
- Elhane,D.N.: Fundamentals of Statistics, Kitab Mahal,Allahbad.
SUGGESTED READINGS:
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.
E-Resources:
1. https://courses.lumenlearning.com/introstats1/chapter/histograms-frequen...
3. https://saylordotorg.github.io/text_introductory-statistics/s15-03-f-tes...
M.Sc. HOME SCIENCE Clothing & Textiles (2025-26)
Semester II
25HCT226 Applied Statistics
Semester End Examination
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Component |
Marks |
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Major (Experiment- I) |
40 |
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Major (Experiment- II) |
15 |
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File |
05 |
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Viva Voce |
10 |
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Total |
70 |
