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CART Training on SPSS and Excel (Awareness in Technology) - II MAIS

CART TRAINING ON SPSS AND EXCEL 
Date: 25.08.2020- 28.08.2020
Time: 2-4 PM
The Department of International Studies, Political Science and History under the esteemed guidance of Dr Manoharan N organized the CART Training by Dr Shashikumar N D, Assistant Professor as an extension of the activities that prelude and fall under the purview of Skill Development Sub-Committee Teaching and Research headed by Lakshmi Karlekar, Sumedha K and Sanjana BS.

Prior to the Google Meet, a survey was conducted with the students of III MAIS regarding their numerical opinions (1-unfavourbale to 5-favourable and in practice) for the following aspects- 

•    Name
•    Email Address
•    Gender 
•    Resident of
•    How often you go outside of your residence?
•    How much awareness you are having on precautions?
•    Rate the network/internet facility at your residence?
•    How much you like online classes?
•    How much you like offline classes?

The Google Meet was conducted on the following topics- 

•    Day 1-  Excel Training 
1.    Sorting data 
2.    =count function 
3.    =countif function 
4.    Pivot Table 

•    Day 2- Excel Training 
1.    Mean, Median, Mode, Standard Error, Standard Deviation, Simple Variants 
2.    Kurtosis and Skewness 
3.    Normal versus not normal distribution 
4.    Non-parametric and Parametric : Rank and Pearson Correlation 
5.    Regression Statistics 
6.    T-Test: Paired Two Samples for Means 

•    Day 3- SPSS Training 
1.    Data view, Variable View (type, measure, role)
2.    Analyse- Descriptive Statistics: Frequencies, Explore (Histogram functions)

•    Day 4- SPSS Training 
1.    Analyse- Mixed Models- Linear 
2.    Analyse- Correlate- Bivariate 
3.    Analyse- Regression 
4.    Analyse- Non- Parametric Tests
5.    Transform- Rank Cases 

Regular home assignments were given post the detailed explanation to keep a track on the learning process. The sessions by CART were indeed reaping rich benefits and qualifying students to do Quantitative Analysis for their Research Papers respectively.  
 

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