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Netrawati Public Campus
Problem Identification & ROL Download slide
Boston Workshop
Survey Form
Reading material Download Exploratory Factor Analysis 1
Reading materials Download Exploratory Factor Analysis 2
Slide 1 Download slide1
Data for practice Download employee data
Workshop on DA in Animal Science
Book 1 Download book by Aviva Petrie, Paul Watson, Statistics for AS
Book 2 Download book by Nageshwora RAO, Statistics for Ag
Slide1 Download slide 1 simple regression
Slide2 Download slide 2 multiple regression
Megastat Download Megastat Installer for Excel
Slide3 Download slide 3 PCA
Data pca Download data PCA
Slide4 Download slide 4 logistic regression
Slide5 Download slide 3 CA
Data ca Download data ca
R Data analysis (Dillibazar Kanya)
Introduction to R Download Day One Material
Introduction to variables Coding & Decoding Download Day two Material
Data types and analysis Download Data types and analysis
R Graphics Download Day three Material
Hypothesis test Download material for Test of Hypothesis
Regression analysis Download Regression analysis
R Script Workshop (Birendra)
25th to 30th May 2022, 5 days Workshop on Data analysis using R at Biredra Campus Chitwan
Script day 2
Script day 3.1
Day 4 ppt materials
Day 5 Multvar
Silkroad Data Analysis Training
5 days Data Analysis Using Excel – Training
Introduction to RM
Introduction to DA (Data collection)
Book for DA
Click here to download MegaStat
click here for form”
Click for Quiz”
Pivot table
Excel Shortcuts
data1
Nilkantha-DA-Workshop

click here for pre workshop survey
Materials of Day I
[Pre workshop survey result] [research methodology] [Introduction to SPSS] [Assignment-I] [data-I]
Materials of Day II
[Data Presentation] [Data II] [Qs for Group 4] [data4] [Qs for Group I] [data1]
Materials of Day III : Non Parametric
Online SPSS Class

- Week 1,Introduction to SPSS
- Week 1: Data view and variable views
- Week 2: Data analysis PPT Slide
- Data for Assignment
- Week 3: Menu and data import
- Week 4: Data Transformation
- Week 5: Google Form Tutorial
- Week 6: Diagrams
- Week 6: Data
- Week 7: Descriptive Statistics
- Week 7: Note on Descriptive
- Week 8: Correlation
- Week 8: Data
- Week 9: Multiple Regression