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AFC 03 QM Part 2 Stats (chapter 11 to 19)

By Umair Instructor

Enrollments : 247 Students

Rs. 8000

Need promo code?

This course includes

Videos : 129

Module 1 Introduction, Instructions and Demo videos

Introduction to Course and other related Items

Video 1 Know your subject and its contents
7 min
Video 2 QM Paper Pattren
4 min
Video 3 ICAP Website And CBE Interface
6 min
Video 5 Othe Information Availabke on ICAP Website
3 min
Video 6 study pattren and study material
5 min

Demo Videos

Chapter 11 12 Part 1 Video 11 Change of origin and scale
14 min
Chapter 11 12 Part 2 Video 5 Grouped Data MST (Means)(use of calculator memory function)
14 min
Chapter 11 12 Part 3 Video 11 Ogives and finding fractiles from ogives
22 min
Chapter 13 video 9 Scatter Diagram (construction and interpretation)
15 min
Chapter 14 Video 5 weighted Aggregated price index number (lespayer, pashee and fisher)
28 min
Chapter 15 Video 8 Successive Experiments concepts and combined sample space
28 min
Chapter 16 Video 17 Normal Distribution Properties and questions solving using properties
27 min
Chapter 17 to 19 Video 5 Sample size VS confidence interval and estimation practice Questions part 1
16 min

Module 2 Statistical Methods (chapter 11 and 12)

1- Chapter 11& 12 Basic

Video 1 Introduction to Chapter topics and ICAP importance
4 min
Video 2 Difference between Maths & stats and the basic stats cycle
17 min
Video 3 Measure of Centeral Tendencies ( Averages means AM, GM, HM)
19 min
Video 4 Measure of Centeral Tendencies ( Averages means AM, GM, HM) practice questions
15 min
Video 5 Measure of Centeral Tendencies ( positional averages median, Quartile, Deciles and percentil
27 min
Video 6 Measure of centeral tendencies (Mode) and relationship between mean median and mode
7 min
Video 7 practice questions (positional averages, mode and relationship)
17 min
Video 8 Measure of dispersion (absolute measure of dispersion) mean deviations, SD and variances
21 min
Video 9 Measure of dispersion questions and a curious case of sample statistics
10 min
video 10 Measure of dispersion (2nd formula of Standard deviation) with practice questions
14 min
Video 11 Change of origin and scale
14 min
Video 12 practice question change of origin and scale
10 min
Video 13 Measure of dispersion (relative measure of dispersion)
15 min
Video 14 Measure of dispersion (relative measure of dispersion) practice questions
7 min
Video 15 Combined Mean and practice questions
19 min
Video 16 Weighted Mean with practice questions
13 min

2- Chapter 11 & 12 Measures of grouped data

Video 1 Increasing the number of obs
24 min
Video 2 More variability in data and steam plot
12 min
Video 3 Increase in number of obsrvations and grouped frequency distribution
34 min
Video 4 Practice questions of Grouped Data basics
29 min
Video 5 Grouped Data MST (Means)(use of calculator memory function)
14 min
Video 6 Grouped Data MST (positional Averages)
17 min
Video 7 Grouped Data (Mode, Range,Quartile range, SD, Variance and Coefficient)
17 min
Video 8 Practice Questions of Grouped Data Caculation
22 min

3- Chapter 11 & 12 Charts and Graphs

Video 1 Graphical presentation of Data Introduction
4 min
Video 2 Simple Bar Chart
19 min
Video 3 Multiple column Bar Chart
24 min
Video 4 Stacked Bar Chart (component Bar Chart)
13 min
Video 5 Percentage Component Bar Chart
10 min
Video 6 Pie Chart
19 min
Video 7 Questions for Ungrouped data charts
16 min
Video 8 Histogram(finding mode from histogram)
10 min
Video 9 Frequency Poloygon
5 min
Video 10 Frequency Curve
3 min
Video 11 Ogives and finding fractiles from ogives
22 min
Video 12 Box and Whiskers Plot
8 min
Video 13 Anomalies & Open Ended classes
8 min
Video 14 Uneven class height and histogram for uneven class height
20 min
Video 15 Questions for Grouped Data Charts
16 min
Video 16 Measure of skewness
22 min
Video 17 Coefficient of Skewness Formula
3 min
Video 18 Practice questions of Measure of skewness
17 min

Module 3 Regression Analysis (chapter 13)

1

Video 1 Regression and correlation syllabus introduction
3 min
Video 2 Regression analysis (equation, a and b calculations)
11 min
Video 3 Regression analysis (interpretations and estimations)
19 min
Video 4 Practice questions of regression analysis
11 min
Video 5 Regression line Y on X and X on Y
10 min
Video 6 Correlation (coefficient of correlation and determination)
19 min
Video 7 Finding a,b,r with the help of calculator
7 min
Video 8 Practice questions of correlation
18 min
video 9 Scatter Diagram (construction and interpretation)
15 min
Video 10 regression line of best fit and scatter diagram interaction
5 min
video 11 Ordinal approach and rank correlation with tie effects
24 min
Video 12 Correlation does not arise out of chance
5 min
Video 13 Practice questions of chapter 13
16 min

Module 4 Probability and counting methods (chapter 15)

Chapter 1 Probability and counting methods (ch 15)

Video 1 Ch 16 Introudction to Syllabus area and weightage
4 min
Video 2 Probability Basics(experiment, Event, Sample Space,
19 min
Video 3 Probability from Deck of Cards part 2
17 min
Video 4 Probability of Item selection, Complement events
14 min
Video 5 Probability of Multiple outcomes in Single experiment (OR Law)
21 min
Video 6 Practice Questions of Probability of Single experiment
23 min
Video 7 Conditional Probability
7 min
Video 8 Successive Experiments concepts and combined sample space
28 min
Video 9 Combined Sample Space for two dices
16 min
Video 10 Successive Experiments (Multiplication Law)
13 min
Video 11 Multiplication law with success scnarios
16 min
Video 12 Multiplication Law for dependent events
16 min
Video 13 Multiplication Law Practice Questions
14 min
Video 14 Finding probability in bigger experiments
5 min
Video 15 Concept of premutation combination and multiplication Rule
12 min
Video 16 Pratice Questions part 1 (Permutation and Combinations)
14 min
Video 17 Pratice Questions part 2 (Construction of 3 digit numbers)
21 min
Video 18 Pratice Questions part 3 (Permutations for identical items)
8 min
Video 19 Practice Questions Part 4 (Sucessive selection)
8 min
Video 20 Finding probability with the help of combinations
14 min

Module 5 Probability Distributions (Chapter 16)

Chapter 1 Probability Distributions (Ch 16)

Video 1 Introduction to Chapter 16 Weightage and topics
4 min
Video 2 Binomial Probability Distribution (Introduction and Basics)
20 min
Video 3 Binomial Probability Distribution (Basic Questions, Probability distribution and Curve)
27 min
Video 4 Binomial Probability Distribution ( Find probability of mutiple scnarios)
12 min
Video 5 Binomial Probability Distribution( Criteria and Properties of Binomial)
19 min
Video 6 Binomial Probability Distribution( Mean of the probability)
18 min
Video 7 The need of Hypergeometric Probability Formula
14 min
Video 8 Difference between Binomial and hypergeometric
8 min
Video 9 hyper Geometric Probability Questions
13 min
Video 10 Poisson Probability Distribution (Critenr and Formula)
20 min
Video 11 Poisson Probability Formula Practice Questions
25 min
Video 12 Poissson Probability Formula Properties
7 min
Video 13 Normal Distribution (difference, finding probability all cases)
28 min
Video 14 Normal Distribution (finding probability between or of two points)
17 min
Video 15 Normal Distribution Practice Questions Part 1
15 min
Video 16 Normal Distribution Practice questions Part 2
25 min
Video 17 Normal Distribution Properties and questions solving using properties
27 min

Module 6 Index Numbers (chapter 14)

Chapter 14 Complete Video Lectures

Video 1 Index Numbers (syllabus guidelines)
2 min
Video 2 Simple price index number and interpretation
19 min
Video 3 simple price index number Chain based indices
10 min
Video 4 Simple aggregated price index numbers (fixed and chain based)
15 min
Video 5 weighted Aggregated price index number (lespayer, pashee and fisher)
28 min
Video 6 Price index numbers (summary)
6 min
Video 7 Practice quesions of Price Index Numbers
16 min
Video 8 Quantity Index Numbers
5 min
video 9 Index numbers Various concepts
11 min
Video 10 Real and nominal increase in wages
6 min
Video 11 Pracrice questions of Real and Nominal Wages
27 min
Video 12 Practice questions of chapter 14
21 min

Module 7 Sampling estimation and hypothesis testing(chapter 17-19)

Sampling estimation and hypothesis testing(chapter 17-19)

Video 1 syllabus area study and ICAP weightage
3 min
Video 2 The stat cycle of sampling and estimation
13 min
Video 3 Sampling (purpose, Need and smapling methods)
32 min
Video 4 Estimation (Point, Interval, Confidence level and different formulas of estimation)
22 min
Video 5 Sample size VS confidence interval and estimation practice Questions part 1
16 min
Video 6 Estimating population proportion and difference of mean practice questions part 2
14 min
Video 7 Esimating population mean with t score and finding sample size for given accuracy practice part 3
19 min
Video 8 Sampling distribution of the Mean concept and understanding
21 min
Video 9 Sampling distribution of the mean practice questions
14 min
Video 10 Introduction to hypothesis testing
9 min
Video 11 step by step approach for Hypothesis testing
26 min
Video 12 Variations of Two tail test practice questions
17 min

Module 8 Feedback Questions with solutions

Module 9 Calculator tricks and other useful websites

Videos : 129

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Course Content

2+ students are Recommending this Course

This course is also part of the following bundle:

70% Discount

AFC_4courses_JZ
1 course

PKR 30000 ~~PKR 101000~~

1 course Bundle
You’ll save 71000 Rs
70% Off

12% Discount

AFC_03_JZ
1 course

PKR 14000 ~~PKR 16000~~