Growth of Statistics has been enormous and more so during the last couple of decades it would be an understatement merely to say that without Statistics no field would function well in all completeness if Revenue making and Result producing are two critically important aspects to consider.
Guess what? They are in fact, if any industry would say, no way, we are in this field merely to make serve, then they are trying to tell you that, their service offers Nothing of considerable Value.
Why? Because all things of Value ought to be bought with a price. Be it Health, Service, Care, Nutrition, and the list goes on.
So if an Industry’s goal is to give Value to its clients, then the only way they would be able to do that, if and when they give Attention, Focus and Worth, to the job at hand.
Remember, for all the three to occur, you need to be specific and goal oriented. In brevity, if you want to take down champion boxer, you just cannot believe that your swings will land the knock out blow, may be in Hollywood movies, but life is not Hollywood movie.
As the famous Star, Sylvester Stallone, once remarked, “Life is meaner than you can think off, not you, not me, can punch more meaner than life, it is not how hard you can hit that counts, but how hard you can get hit, and keep coming back is what that counts”
Which again merely means, get all the skills you need to succeed and keep your focused pressure on the target, for you know the area that would produce the knockout, so go get it.
To cut the long story short, the most important questions for the success of any organization depends on information,(which we call as Data) that they have and what they can or would do with their Data.
With this introductory course, you will learn a ton load of things you could do and how with these knowledge you can literally change the future of your Organization and yours as well.

### Course Curriculum

 Introduction to Statistics Brief introduction as to why we need Statistics 00:10:00 Stem and Leaf diagram 01:00:00 Introduction to Descriptive Statistics 00:10:00 How to find Mean and Median 00:10:00 How to Calculate the Mode and interpret the Result 00:10:00 How to Calculate Standard Deviation and Interpret the results 00:10:00 How to Calculate the Variance and Interpret the Results 00:10:00 How to Calculate Quartile Deviation and Interpret the Results 00:10:00 Probability Theory for Medical students 00:20:00 Mutually Exclusive Probabilities 00:10:00 Non Mutually Exclusive Events-Given A and B, are nonmutually exclusive 00:10:00 Examples for Mutually Exclusive events and Marginal Probabilities 00:10:00 Same Addition Rule of Probability but with a Different situation 00:10:00 Dependent Events applying Multiplication rule 00:10:00 Independent Events, applying Multiplication rule 00:10:00 Bayes Theorem 00:10:00 Bayes Theorem Continued 00:10:00 Binomial Probability Distribution-Introduction 00:10:00 Binomial Probability Distribution-Examples 00:10:00 Binomial Probability Distribution-Examples_Continued_Part1 00:10:00 Binomial Probability Distribution-Examples_continued_Part2 00:10:00 Binomial Probability Distribution-Examples_continued_Part 3 00:10:00 Poisson Distribution 00:10:00 Poisson Distribution_Continued 00:10:00 Normal Distribution 00:10:00 Normal Distribution Examples 00:10:00 Normal Distribution Examples Continued 00:10:00 Degrees of Freedom 00:10:00 Testing of Hypothesis 00:15:00 Testing of Hypothesis, A Sample Problem 00:20:00 One Sample t-Test 00:20:00 One Sample t-Test, An Example 00:20:00 Two Tailed test explained in detail with an Example 00:20:00 Paired Sample t-Test, part I 00:15:00 Paired Sample t-Test, part II 00:20:00 Independent Sample t-Test 00:10:00 Independent Sample t-Test, Example 00:20:00 Correlation Analysis 00:10:00 Negative Correlation 00:10:00 Linear Regression Model 00:10:00 Linear Regression Model Example-Part 1 00:10:00 Linear Regression Model Example-Part 2 00:10:00 Linear Regression Model Example-Part 3 00:10:00 Chi Square test 00:10:00 Chi Square test-Worked out Example 00:20:00 Lab Sessions Introduction to SPSS for Medical Students 00:10:00 How to Draw Charts and Graphs, Using SPSS 00:20:00 How to find Descriptive Statistics using SPSS 00:20:00 Univariate Correlation 00:20:00 BiVariate Correlation using SPSS 00:20:00 Linear Regression Model-Using SPSS-Step by Step-Practical Theory 00:20:00 Linear Regression Model-Using SPSS-Step by Step-Practical Application[Beer and calorie content] 00:20:00 One Sample t-Test using SPSS-Practical Application 00:20:00 Paired Sample t-Test using SPSS-Practical Application 00:20:00 Independent Sample t-Test, Using SPSS 00:20:00 ANOVA-detailed step by step explanation provided using SPSS 00:20:00 NON PARAMETRIC tests, step by step Explanation provided using SPSS 00:20:00 Two Way ANOVA, using SPSS 00:20:00

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