Workshop in Probability and Statistics from Start to Finish
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236 students enrolled
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# Workshop in Probability and Statistics from Start to Finish

This workshop will teach you the fundamentals of statistics in order to give you a leg up at work or in school.
2.8 (4 ratings)
236 students enrolled
Created by Alia Mubashir
Last updated 5/2017
English
Current price: \$10 Original price: \$200 Discount: 95% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
• 5 hours on-demand video
• 7 Supplemental Resources
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• By the end of this workshop you should be able to pass any introductory statistics course
• This workshop will teach you probability, sampling, regression, and decision analysis
• Able to learn lot of Statistics concepts
View Curriculum
Requirements
• Basic knowledge of statistics
Description

Welcome to the course on "Workshop in Probability and Statistics from Start to Finish" This workshop is designed to help you make sense of basic probability and statistics with easy-to-understand explanations of all the subject's most important concepts. Whether you are starting from scratch or if you are in a statistics class and struggling with your assigned textbook or lecture material, this workshop was built with you in mind. In this workshop you will learn about Probability , Hypothesis Testing , Confidence Interval , Simple and Linear Regression Models , Sampling or survey sampling with complete Exercises , and PDF materials also provided for additional help .

Who is the target audience?
• People in business who want a better grasp of probability and statistics.
• Current students who are (or will soon be) taking a course in introductory statistics with their home institutions
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Curriculum For This Course
76 Lectures
04:49:58
+
Introduction to course
1 Lecture 09:49
Preview 09:49
+
Basic Probability and Statistics
11 Lectures 37:54
What is Set , Subset , Infinite and Finite Set , Universal and Null Set Etc Etc
05:27

Venn Diagram , Union of two sets , Intersection of two sets , Disjoint Set
02:56

Overlaping sets , Complement of a Set , Difference of two sets
02:06

What is Experiment , Trial ,Outcome , Random Experiment Sample Space?
03:39

Event , Simple Event , Composite or Compound Event and Equally Likely Events
03:23

Mutually Exclusive Events , Collectively Events , Independent & Dependent Events
04:01

Define Probability with Examples?
04:18

Find the Probability when Even or Odd numbers are rolled
03:48

Rules of Probability , Rules of Multiplication and Addition
03:16

Conditional Probability
03:03

Rules of Multiplication with Examples
01:57
+
Hypothesis testing
10 Lectures 36:31
What is Hypothesis , Statistical Hypothesis and Testing of Hypothesis?
01:58

Null Hypothesis and Alternative Hypothesis
01:58

Degree of Freedom , General Procedure for Testing of Hypothesis
01:05

Example 1
05:15

Example II - Is this a one or two tailed test.....??
03:09

Example of Testing Hypothesis about Population Proportion (Sample Size is Large)
03:15

Examples of Population Mean: Small Sample, Population Standard Deviation.....?
07:47

Test Statistic for the Difference between Two Means
04:26

07:14

Exercise
00:24
+
Confidence Interval
11 Lectures 41:12
What is Estimate , Estimator and Estimation?
03:47

Confidence interval and prediction interval
04:13

Normal population with sigma known
06:23

A random sample of size ,,,,,,,,, is taken from a normal population with a known variance. If the mean of the sample is ....... find 95% confidence limits for the population mean. ?

Another Example of Normal Population with sigma known
03:21

What is Student T-Distribution?
02:16

Confidence interval for difference of means
03:22

Examples of confidence interval for difference of means
05:18

Any population variance known/unknown large samples
05:17

Confidence Interval for population proportion
03:55

Confidence Interval for Difference between Two Population Proportions, π1−π2

Confidence Interval for Difference between Two Population Proportions, π1−π2
02:56

Exercise
00:24
+
Simple Linear Regression Analysis
11 Lectures 47:03

The least squares principle is a criterion for fitting a specified model to observed data such that the sum of squares of the residuals (difference between observed and estimate value) is minimized? in detail.

The estimated model can be written?

Regression Analysis
03:01

• Determine the regression equation.
• Determine the value of....... when X is....?
Examples of Regression Analysis
06:03

Examples with Interpretation
03:38

Standard Error of Estimate
06:44

Coefficient of determination
05:16

• Estimate the regression line of sales on price and interpret the results?
• What is the part of the variation in sales which is not explained by the regression line?
• Calculate coefficient of determination and standard error of estimate.?
Interpretation of coefficient of determination
05:22

Correlation Analysis

Pearson’s Product Moment Correlation Coefficient:

Pearson’s product moment correlation coefficient, usually denoted by r, is one example of a correlation coefficient. It is a measure of the linear association ....................?

Correlation Analysis
04:27

The Relationship among the Coefficient of Correlation, the Coefficient of Determination and the S.E of Estimate:

Sum of square of regression =S.S.R =Regression=Explained variation........?

.............?

Relationship between Coefficient of Correlation , Determination and S.E
04:21

Test the significance of coefficient of correlation
05:27

The inferences about the regression coefficient can be made by t−test for the slope and F−test for the slope.

Testing of hypothesis about regression coefficient
02:20

Exercise
00:24
+
Multiple Regression Model
11 Lectures 39:05
What is Multiple Regression?
03:18

Estimation of Multiple Linear Regression Model with Two Explanatory Variables ..
02:29

Introducing the formulas of Multiple Regression in deviation form
03:25

Solving the model of Multiple Regression model with example
10:06

What is Multiple Standard Error of Estimate?
03:14

How to find the values of Multiple standard error of estimate?
04:26

What is Coefficient of Multiple Determination?
02:18

How to find the values of coefficient of Multiple determination?
03:58

What is Adjusted Coefficient of Multiple Determinations?
03:16

How to find Adjusted Coefficient of Multiple Determination?
02:11

Exercise
00:24
+
Sampling and Sample Survey
11 Lectures 42:13
What is population? Sample and Sampling
01:36

02:09

Sampling design and sampling Survey
03:46

Sampling Distribution of the Sample Mean
05:54

Preview 03:53

What is Standard Error? Explanation with Examples
03:25

Sampling Distribution with Replacement
06:15

Sampling Distribution of the Difference between Means
01:58

Example of Sampling Distribution of the Difference between Means Part II
09:29

Example of Sampling Distribution of the Difference between Means Part II
03:24

Exercise
00:24
+
Analysis of Variance
10 Lectures 36:11
The F Distribution and Characteristics of the F Distribution
02:08

Example one
03:07

ANOVA Test and Assumptions
05:12

Preview 07:57

Inferences about Pairs of Treatment Means
02:10

Example of Inferences about Pairs of Treatment Means & difference of means
02:10

Two−Way Analysis of Variance
01:15

Example of Two−Way Analysis of Variance (part I)
07:28

Example of Two−Way Analysis of Variance (part II)
04:20

Exercise
00:24
 2.4 Average rating 101 Reviews 7,965 Students 71 Courses
Instructor at Udemy

I have Specialization in Statistics , Finance and also teach Economics , Statistics and Mathematics to students in an academy and now I have started to teach online . I also hold

1. Studied in Statistics and Finance from Punjab University
2. I also hold Diplomas in Office Productivity and many Softwares