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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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