Gargaon College E-Shiksha

6th Semester

Paper 601: Design of Experiments

 Unit-1

1. Linear Models (Class) [Ms Bornali  Dutta] https://youtu.be/bv_pWtsVu50
2. Linear Models (Material) [Ms Bornali  Dutta] https://cutt.ly/ubNwaI2
3. GaussMarkov linear model(Class)[Ms Bornali Dutta] https://youtu.be/DiAozyVQ8jM
4. Gauss Markov linear model(Material) [Ms  Bornali  Dutta] https://cutt.ly/1bNwnvP
5. Analysis of  variance (Class) [Ms  Bornali  Dutta] https://youtu.be/GRX53qWrakg
6. Analysis of  variance (Material) [Ms  Bornali  Dutta] https://cutt.ly/JbNw4rS
7. Analysis of Variance: One-way Classification (Class) [Ms Bornali  Dutta] https://youtu.be/CR4DdiiMcYs
8. Analysis of Variance: One-way Classification (Material) [Ms Bornali  Dutta] https://cutt.ly/YbNeSKl
9. Analysis of variance Two-way classification (Class) [Ms Bornali  Dutta] https://youtu.be/rtk8G8bidP4
10. Analysis of variance Two-way classification (Material) [Ms Bornali  Dutta] https://cutt.ly/5b1Q6Es

Unit-2:  

1. Basic concept of design of experiments(Class) [Ms Bornali Dutta]: https://youtu.be/d3fft0zKysw
2. Basic concept of design of experiments(Material) [Ms Bornali Dutta]: https://bit.ly/3qdbOR5
3. Basic principles of design of experiments(Class) [Ms Bornali  Dutta] https://youtu.be/xvq-VsZHPJE
4. Basic principles of design of experiments(Material) [Ms Bornali  Dutta] https://cutt.ly/AbNryVl
5. Completely Randomised Design(Class) [Ms Bornali Dutta]: https://youtu.be/RzQU7aza_r8
6. Completely Randomised Design(Material) [Ms Bornali Dutta]: https://bit.ly/3xFIdT7
7. Randomised Block Design(Class) [Ms Bornali Dutta]: https://youtu.be/W0EiZat4pU4
8. Randomised Block Design(Material) [Ms Bornali Dutta]: https://bit.ly/3vJfqM2
9. Latin Square Design(Class) [Ms Bornali Dutta]: https://youtu.be/kJQducrXhoQ
10. Latin Square Design(Material) [Ms Bornali Dutta]: https://bit.ly/3xGnLBD

Paper 602: Applied Statistics

Unit 1: Time Series Analysis

• Time Series Analysis I (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/D47G2-1FW78
• Time Series Analysis I (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/mmypQlQ
• Time Series Analysis II (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/jJSsCmKQjjQ
• Time Series Analysis II (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/mmypQlQ
• Time Series Analysis III (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/xPr8i2aIVQk
• Time Series Analysis III (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/imypO4g
• Time Series Analysis IV (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/yAHcHLkEdXs
• Time Series Analysis IV (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/imypO4g
• Time Series Analysis V (Class) [Dr. Ranjana Gogoi] Link: https://youtu.be/fcYDAjgvuqg
• Time Series Analysis V (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/imypO4g
• Time Series Analysis VI (Class) [Dr. Ranjana Gogoi] Link:https://youtu.be/c1Gc0_UoOOo
• Time Series Analysis VI (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/imypO4g

Unit 3

1. Types of data required for estimating demand function [Dr Ranjana Gogoi] https://cutt.ly/WbB6BwB
2. Different forms of demand function (Class) [Dr Ranjana Gogoi] https://cutt.ly/ZbNq8u5
3. Different forms of demand function (Material) [Dr Ranjana Gogoi] https://cutt.ly/fbNweoF
4. CLRM and Assumptions (Class) [Dr Ranjana Gogoi] https://cutt.ly/1bNwKEK
5. CLRM and Assumptions (Material) [Dr Ranjana Gogoi] https://cutt.ly/7bNwXoB
6. Leontief’s Method of Estimating Demand Function from Time Series Data (Class) [Dr Ranjana Gogoi] https://cutt.ly/YbNeo3n
7. Leontief’s Method of Estimating Demand Function from Time Series Data (Material) [Dr Ranjana Gogoi] https://cutt.ly/ubNed1D

Unit 4: Demography

1. Introduction to Demography (class)[Dr Ranjana Gogoi] https://youtu.be/klE30KlzU0Q
2. Introduction to Demography (Material) [Dr Ranjana Gogoi] https://cutt.ly/2b6fnFm
3. Measurement of Mortality (Class) [Dr Ranjana Gogoi] https://youtu.be/VjkBhy6sJRM
4. Measurement of Mortality (Material) [Dr Ranjana Gogoi] https://cutt.ly/2b6fnFm
5. Mortality Table or Life Table (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/vfe25JUciIk
6. Mortality Table or Life Table (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/Vn1Ah6l
7. Standardized Measures of Mortality (Class) [Dr. Ranjana Gogoi] link:https://youtu.be/lKqUn7N_YOA
8. Standardized Measures of Mortality (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/Bn1Aa45
9. Fertility & Its Measurements (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/LWsC3WKXnr4
10. Fertility & Its Measurements (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/qmypkq4
11. Measurements of Population Growth (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/eyezAT098AQ
12. Measurements of Population Growth (Material) [Dr. Ranjana Gogoi] link: https://cutt.ly/3mypos3

Unit-5: Statistical Quality Control

1. Quality & Dimension of Quality (Class) [Dr Ranjana Gogoi] https://youtu.be/49ualT8Cpbw
2. Quality & Dimension of Quality (Material) [Dr Ranjana Gogoi] https://cutt.ly/Nb6fAnk
3. Historical Perspective of Quality Control (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/Fucf3-qZhI8
4. Historical Perspective of Quality Control(Material) [Dr. Ranjana Gogoi] link: https://cutt.ly/bn1ONHf
5. Statistical Process Control & Process Variability (Class) [Dr. Ranjana Gogoi] link:https://youtu.be/TQrL79F1V7s
6. Statistical Process Control & Process Variability (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/Un1Pwng

C.B.C.S 4^th Semester (Hons)

STAT-C-402: Linear Model

Unit 1: Gauss Markov Set-up: Theory of Linear Estimation

1. Theory of Linear Estimation, Gauss Markov Set-up & Estimability of Linear Parametric Functions (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/BeOyqUaSb0g
2. Theory of Linear Estimation, Gauss Markov Set-up & Estimability of Linear Parametric Functions (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/rn1OvZ9
3. Gauss Markov Theorem (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/D-MXVZZLBwQ
4. Gauss Markov Theorem (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/rn1OvZ9
5. Method of Least Squares, Normal Equations & Estimation of Error Variance (Class) [Dr. Ranjana Gogoi] link:https://youtu.be/UMWEegxyYkI
6. Method of Least Squares, Normal Equations & Estimation of Error Variance (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/rn1OvZ9

Unit-2: Regression Analysis

1. Simple Linear Regression Model& Estimation of Parameters (Class) [Dr Ranjana Gogoi] https://youtu.be/GNV5lEYUsrc
2. Simple Linear Regression Model& Estimation of Parameters (Material) [Dr Ranjana Gogoi] https://cutt.ly/1b6fJeo
3. Simple Linear Regression Model& Testing of Hypothesis of β (Class) [Dr Ranjana Gogoi] https://youtu.be/XY4sfRnkq8q
4. Simple Linear Regression Model& Testing of Hypothesis of β (Material) [Dr Ranjana Gogoi] https://cutt.ly/eb6fMwy
5. Multiple Linear Regression Model I (Class) [Dr. Ranjana Gogoi] Link: https://youtu.be/FY1z-PLWL9M
6. Multiple Linear Regression Model I (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/jmyaraV
7. Multiple Linear Regression Model II (Class)[Dr. Ranjana Gogoi] Link: https://youtu.be/Yc8DjcWJK2Q
8. Multiple Linear Regression Model II (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/jmyaraV
9. Multiple Linear Regression Model III(Class)[Dr. Ranjana Gogoi]Link: https://youtu.be/qpCLMza8xYw
10. Multiple Linear Regression Model III (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/kmyaoiQ
11. Multiple Linear Regression Model IV (Class) [Dr. Ranjana Gogoi] Link: https://youtu.be/1ieOhnh9llo
12. Multiple Linear Regression Model IV (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/TmyafDz

Unit III: Analysis of Variance

• Introduction to ANOVA (Class) [Dr. Ranjana Gogoi] Link: https://youtu.be/Afk3Wt6Y6NE
• Introduction to ANOVA (Material) [Dr. Ranjana Gogoi] Link:https://cutt.ly/8mypJzp
• ANOVA for One Way Classification-Fixed Effect Model (Class) [Dr. Ranjana Gogoi] Link: https://youtu.be/xEsly5nnT80
• ANOVA for One Way Classification-Fixed Effect Model (Material) [Dr. Ranjana Gogoi] Link: https://cutt.ly/8mypJzp

STAT-C-403: Statistical Quality Control

Unit-1: Introduction to SQC

1. Quality Improvements & Dimension of Quality (Class) [Dr Ranjana Gogoi] https://youtu.be/49ualT8Cpbw
2. Quality & Dimension of Quality (Material) [Dr Ranjana Gogoi] https://cutt.ly/Nb6fAnk
3. Historical Perspective of Quality Control (Class) [Dr. Ranjana Gogoi] link: https://youtu.be/Fucf3-qZhI8
4. Historical Perspective of Quality Control(Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/bn1ONHf
5. Statistical Process Control & Process Variability (Class) [Dr. Ranjana Gogoi] link:https://youtu.be/TQrL79F1V7s
6. Statistical Process Control & Process Variability (Material) [Dr. Ranjana Gogoi] link:https://cutt.ly/Un1Pwng

C.B.C.S 4^th Semester (Generic)

STAT-GE-4: Basics of Statistical Inference

Unit4: Analysis Of Variance

1. Analysis of  variance (Class) [Ms  Bornali  Dutta] https://youtu.be/GRX53qWrakg
2. Analysis of  variance (Material) [Ms  Bornali  Dutta] https://cutt.ly/JbNw4rS
3. Analysis of Variance: One-way Classification (Class) [Ms Bornali  Dutta] https://youtu.be/CR4DdiiMcYs
4. Analysis of Variance: One-way Classification (Material) [Ms Bornali  Dutta] https://cutt.ly/YbNeSKl
5. Analysis of variance Two-way classification (Class) [Ms Bornali  Dutta] https://youtu.be/rtk8G8bidP4
6. Analysis of variance Two-way classification (Material) [Ms Bornali  Dutta] https://cutt.ly/5b1Q6Es
7. Brief Exposure of three basic principles of design of experiments(Class) [Ms Bornali  Dutta] https://youtu.be/xvq-VsZHPJE
8. Brief exposure of three basic principles of design of experiments(Material) [Ms Bornali  Dutta] https://cutt.ly/AbNryVl
9. Basic concept of design of experiments(Class) [Ms Bornali Dutta]: https://youtu.be/d3fft0zKysw
10. Basic concept of design of experiments(Material) [Ms Bornali Dutta]: https://bit.ly/3qdbOR5
11. Completely Randomised Design(Class) [Ms Bornali Dutta]: https://youtu.be/RzQU7aza_r8
12. Completely Randomised Design(Material) [Ms Bornali Dutta]: https://bit.ly/3xFIdT7
13. Randomised Block Design(Class) [Ms Bornali Dutta]: https://youtu.be/W0EiZat4pU4
14. Randomised Block Design(Material) [Ms Bornali Dutta]: https://bit.ly/3vJfqM2