Statistics explained completely
1.9 (32 ratings)
3,723 students enrolled
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# Statistics explained completely

Improve your Statistics Knowledge, master all concepts thoroughly.
1.9 (32 ratings)
3,723 students enrolled
Last updated 4/2017
English
Current price: \$10 Original price: \$200 Discount: 95% off
30-Day Money-Back Guarantee
Includes:
• 3 hours on-demand video
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion
What Will I Learn?
• This course will give you great understanding on concepts present in Statistics syllabus
• After completing this preparation material you will be at intermediate level of expertise from where you can take yourself at higher level of expertise.
• Master Arithmetic Mean, Median, Mode and Range
• Learn about Bar Graphs, Best Point Estimation, Binomial Distribution and Box Plots
• Know about Central Limit Theorem and Chebyshev's Theorem
• Master Chebyshev's Theorem, Chi squared table, Circular Permutation and Clustered Sampling
View Curriculum
Requirements
• Before proceeding with this course you should have a basic understanding of Mathematics.
Description

This Statistics course will cover the important concepts of Statistics syllabus. It containslectures discussing all the basic concepts of Statistics with suitable examples.We will cover topics like Arithmetic Mean, Median, Mode, Range, Bar Graph, Best Point Estimation, Binomial Distribution, Boxplots, Central Limit Theorem, Cluster Sampling, Cohen's kappa coefficient, Continuous Uniform Distribution, Cumulative Frequency, Coefficient of Variation, Correlation Coefficient, Cumulative plots, Cumulative Poisson Distribution, Data Collection, Data Patterns, etc.

The field of statistics provides the scientist with some of the most useful techniques for evaluating ideas, testing theory, and discovering the truth.

Statistics ... the most important science in the whole world: for upon it depends the practical application of every other science and of every art; the one science essential to all political and social administration, all education, all organisation based upon experience, for it only gives the results of our experience.- Florence Nightingale

Statistical Thinking will one day be as necessary for efficient citizenship as the ability to read and write.- H.G. Wells

From medical studies to research experiments, from satellites continuously orbiting the globe to ubiquitous social network sites like Facebook or MySpace, from polling organizations to observers, data are being collected everywhere and all the time. Knowledge in statistics provides you with the necessary tools and conceptual foundations in quantitative reasoning to extract information intelligently from this sea of data.

Who needs statistics in this century? Anyone who wants to be able to look critically at numerical information and not be misled. Anyone who has problems to solve, problems they won't be able to solve until they find out a little more about the world and how it operates. Such problems include finding ways to make a business more profitable right through to improving living standards and fighting cancer. Investigative questioning, designing ways to collect data to answer those questions, collecting data, and making sense of what that data says to produce reliable answers.

So, Get ready now to begin the statistics course and improve your statistics knowledge!

Who is the target audience?
• This tutorial is designed for students who are willing to learn Statistics
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Curriculum For This Course
36 Lectures
02:48:15
+
Introduction to Statistics
1 Lecture 02:57
Preview 02:57
+
Learn Statistics
17 Lectures 38:08
Preview 03:11

Preview 02:09

Preview 01:44

Arithmetic Mean of Individual Data Series
01:50

Arithmetic Mean of Discrete Data Series
02:38

Arithmetic Mean of Continuous Data Series
02:15

Arithmetic Median of Individual Data Series
02:15

Arithmetic Median of Discrete Data Series
02:24

Arithmetic Median of Continuous Data Series
04:31

Arithmetic Mode
01:22

Arithmetic Mode of Individual Data Series
00:54

Arithmetic Mode of Discrete Data Series
01:27

Arithmetic Range
01:41

Bar Graph
01:08

Best Point Estimation
02:43

Binomial Distribution
02:44

BoxPlot
03:12
+
Regression Analysis
5 Lectures 45:02
Regression Analysis Part 1
09:02

Regression Analysis Part 2
09:00

Regression Analysis Part 3
09:00

Regression Analysis Part 4
09:02

Regression Analysis Part 5
08:58
+
Statistic Models
4 Lectures 27:02
Statistic Models Part 1
07:01

Statistic Models Part 2
07:02

Statistic Models Part 3
07:00

Statistic Models Part 4
05:59
+
Modeling Demand
9 Lectures 55:06
Modeling Demand Part 1
05:00

Modeling Demand Part 2
05:02

Modeling Demand Part 3
05:00

Modeling Demand Part 4
05:02

Modeling Demand Part 5
05:00

Modeling Demand Part 6
05:00

Modeling Demand Part 7
05:00

Modeling Demand Part 8
10:01

Modeling Demand Part 9
10:01
About the Instructor
 4.8 Average rating 1,498 Reviews 19,451 Students 31 Courses
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