Probability and Statistics (Nex-5263)
Course Content
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Lecture
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Lecture 1 || Introduction , Data representation and summarizing( Frequency distribution , Histogram ,Polygon)
01:35:44 -
Lecture 2 || Central tendency (Ogive Curve , Mean)
01:38:31 -
Lecture 3 || Central tendency (Median ,Mode )
01:25:08 -
Lecture 4 || Quartile , Percentile , Decile , Outlier(IQR, Box & whisker plot)
01:32:13 -
Lecture 5 || Stem & Leaf
01:26:46 -
Lesson 6 || Measures of Dispersion( Mean Deviation , Variance & SD , CV and Box plot)
01:58:47 -
Lecture 7 || Correlation & regression( Scatter Diagram , Coefficient Correlation )
01:43:59 -
Lecture 8 || Shape of the distributions (Moments ,Skewness , Kurtosis)
54:07 -
Lecture 9 || Correlation & regression ( Rank Correlation )
57:36 -
Lecture 10 || Graph Questions
01:19:53 -
Lecture 11 || Pie Chart And Bar Diagram
37:52 -
Extra Class
30:55
All Materials
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Click here
Archive Lectures
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Lecture 01 ||
01:36:13 -
Lecture 02 ||
01:47:36 -
Lecture 03 ||
01:18:46 -
Lecture 04 ||
02:24:36 -
Lecture 05 ||
01:52:18 -
Lecture 06 ||
01:22:53 -
Lecture 07 ||
01:12:42 -
Lecture 08 ||
45:11 -
Lecture 10 ||
01:59:45
Previous Year Question Solve
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Fall 25
01:03:48 -
Summer 25
02:02:58 -
Spring 25 & Fall 24
03:37:00 -
Spring 24
01:29:01 -
Spring 23
01:32:35 -
Spring 26
01:15:02
Quick Recap
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Part 1
02:50:25 -
Part 2
01:37:22
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