Curriculum
Course:
Statistics for CA/CS Foundation
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Curriculum
Statistics for CA/CS Foundation
Introduction
0/2
Who is your instructor
Video lesson
Preview
Introduction to the course
03:26
Preview
Statistical Description of the Data
0/7
Concept of Statistical Description of Data
01:35
Mathematics Vs. Statistics
03:39
Why we should learn Statistics
07:31
History of the Statistics
04:14
Who is the father of Statistics?
01:38
Limitations of statistics
08:52
Application of Data
16:53
Preview
Data Visualisation
0/15
Simple and Multiple line chart
10:12
Different types of Bar Diagrams
06:31
Video explanation: Application of Bar charts
02:25
Pie Chart
08:40
Tabulation and its guidelines
06:56
The Secret Locker & Key problem
10:57
CA, Costing and Management friends Tabulation
Assignment
Concept of Frequency Distribution
08:50
Important terms related to Frequency Distribution
08:50
Graphical representation of Frequency Distribution
05:57
Calculation of MODE from Histogram
02:24
Frequency Polygon
03:31
Ogives & Calculation of Median
07:40
Ogives (continued)
02:18
Types of frequency curves
08:27
Measurement of Central Tendency
0/26
Concept of central tendency & Pethagorean Mean
13:18
concept of Arithmetic Mean (A.M)
13:05
Properties of A.M
14:45
Geometric Mean (G.M)
14:45
Properties of G.M
03:02
Harmonic Mean (H.M)
04:23
Properties of H.M
04:09
Median for discrete data
06:35
Properties of Median
07:05
Properties of Mode
04:51
Calculating CT from open class frequency distribution
10:00
calculation of Quartiles, Deciles and Percentiles
08:38
Concept of Quartiles, Deciles
11:04
Calculation of Mean for group Frequency data
22:44
using basic concept: Calculation of A.M (grouped frequency data)
06:34
How to write Quartiles, Deciles & Percentiles formulae
13:48
Calculation of Median for group Frequency data
11:01
Finding Missing frequencies in Quartiles
13:57
for open ended - unequal C.I data calculating Quartiles, Deciles and Percentiles
18:10
Mode for discrete data
05:01
Understanding Mode formula
09:07
Calculation of Mode for group Frequency data
24:33
Empirical formula for easy calculation of Central tendencies
08:14
Skewness
04:10
Relation of Mean, Median & Mode for skewed curve
05:24
Kurtosis
05:38
Dispersions
0/13
Measurement of Dispersions
06:19
Range & coefficient of Range
07:17
Quartile Deviation & coefficient of Q.D
11:23
Calculating QD for open ended C.I when cumulative frequency is given
11:40
concept of Mean Deviations & coefficients of M.D
12:05
Calculating M.D & Coefficient of M.D
Video lesson
Standard Deviation
15:48
Standard Deviation explained with animation
07:40
Composite standard deviation
10:48
Coefficient of variance
10:49
Are you a selector of your national cricket team? Batsman Problem
12:34
CV- missing frequency problem
9:51
calculating correct mean & SD from Wrong mean & wrong S.D
09:51
Probability & Expected Random Values
0/15
Different concepts of Probability
20:02
Validity of probability outcomes
08:34
Sample space & other related terms
16:38
Solved problems -1
13:03
Relative Probability
09:10
Axioms
3:24
Independent & Dependent probability
12:26
Conditional Probability
06:37
Addition Rule & Multiplication Rule
09:18
Marginal, Conditional, and Joint Probability and Its practical applications
25:44
Bayes Theorem
4:41
Application of Bayes Theorem
14:53
Decision Tree
15:46
Expected Value of Random Variable (Population Mean & SD calculation)
11:00
Calculating Expected Value of Random Variable
06:34
Distribution Theory
0/13
Concept of data distribution
04:58
Uniform Distribution
03:34
Preview
Binomial Distribution
10:04
Theoretical Frequency Distribution vs Binomial Distribution
07:12
Application of Binomial Distribution
17:34
Properties of Binomial Distribution
10:16
Poison Distribution
10:55
Application of Poison Distribution
05:34
Poisson Distribution: Partial Interval
05:59
Properties of Poison Distribution
06:38
Normal Distribution,Standard Normal Distribution & formulae
10:13
Normal Distribution & Standard Normal Distribution
25:37
Z-Score & solving Business problems
12:41
Hypothesis Testing
0/11
Concept of Hypothesis Testing
12:07
Burden of proof
03:53
Standard Error
02:52
Why do we need Hypothesis testing?
03:33
Difference between Std Error & std Deviation
02:27
Type1 & Type 2 errors
04:59
Forming Hypothesis correctly
03:37
Examples- forming Null & Alternate hypothesis
04:55
Lower, Upper & 2 tailed Test
03:52
How to prove Hypothesis
Video lesson
What if researchers set 0% error?
03:36
Correlation Analysis
0/10
Concept of Correlation Analysis
25:14
Scattered Diagram
02:44
Karl Pearson’s Correlation coefficient
04:00
Karl Pearson’s solved problem-1
08:13
Karl Pearson’s solved problem-2
02:44
Covariance & KP correlation coefficient
07:07
Properties of correlation coefficient
12:25
Spearmans rank Correlation Coefficient
07:14
Spearman's Correlation Solved problem
10:00
Coefficient of Concurrent Deviation
09:03
Regression Analysis & Making Predictions
0/12
Linear, Ordinal & Multiple regression
08:50
Preview
Linear Regression
06:35
Minimum Least Square Method
10:06
Calculating coefficients values
04:45
Ascombe's Quartet: Limitation of Regression Analysis
04:55
Regression Equations: 'x on y' & 'y on x'
08:28
Regression Solved problem-1
05:55
Predicting mom's height based on daughter's height & vs
11:00
Regression Solved problem-2
10:38
Probable Error- Calculating correlation coefficient of POPULATION
08:39
Solved Problem_Calculation of Probable Error
03:25
Spurious Correlation & Coefficient of Determination
08:46
Index Number
0/14
concept of index number
05:06
construction of index number
15:43
Methods of constructing Index number
07:56
Video: Index Number Explained
03:11
Index Numbers: Lasperey's, Pasache's, Fischer's, Dobris-Bowel's, Max-Edworth's
05:48
Solved problems on Index Number
09:52
Weighted Index Number
05:00
Splicing of Index Number series
06:23
Are you becoming poor year on year: Real Income vs. Actual Income
07:20
Test of Adequecy
06:32
Time Reversal Test
03:29
Factor Reversal Test
06:36
Test Adequecy - Tricks to remember
02:53
Shifting of Index Number
05:51
Time Series Analysis
0/6
Concept of time series analysis
08:48
Additive & Multiplicative Model
4:54
Trend Analysis: Graphical Method
04:18
Trend Analysis: Semi Average Method
05:28
Trend Analysis: 3 Years Moving Average Method
5:07
Trend Analysis: Weighted Moving Average Method
06:03
Course End Exam (Statistics for Data Science And Business Analytics)
0/1
Course End Exam (Statistics for Data Science And Business Analytics)
50 questions
Video lesson
Linear, Ordinal & Multiple regression
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