Research Statistics: Scratch to Master – Radhe Global
Inferential statistics, Hypothesis Testing, Correlation, Regression, Modelling, Ch- Squared Test, ANOVA and many more…
Instructor Names: Dr. Sumit Saha, Ph.D
link: https://www.udemy.com/course/research-statistics-scratch-to-master/
Objective
Statistics applied in research and data analysis projects with practical problems, and examples. If you are in corporate, learn the tricks and gain the knowledge to out perform Research scholars want to build strong base in statistics.
Curriculum
Data, Description & Measurement Scales, Concept of Statistical Description of Data, Application of Data, Categorical and Continuous data_ Nominal, Categorical, Interval & Ration Scales, Variance & Bessel’s Correction, Fence_Wiskers_Inter Quartile Range_Outliers, Covariance, Population vs Sample mean, Stem & Leaf display, Valid & Reliable Data, Questionnaire Building, Visualisation of Data, Simple and Multiple line chart, Different types of Bar Diagrams, Video explanation: Application of Bar charts, Pie Chart, Tabulation and its guidelines, The Secret Locker & Key problem, Concept of Frequency Distribution, Important terms related to Frequency Distribution, Graphical representation of Frequency Distribution, and HISTOGRAM, Calculation of MODE from Histogram, Frequency Polygon, Ogives & Calculation of Median, Ogives (continued), Types of Frequency curves, Dispersions, Measurement of Dispersions, Range & coefficient of Range, Quartile Deviation & coefficient of Q.D, Calculating QD for open ended C.I when cumulative frequency is given, concept of Mean Deviations & coefficients of M.D, Calculating M.D & Coefficient of M.D, Standard Deviation, Standard Deviation explained with animation, Composite standard deviation, Coefficient of variance, Are you a selector of your national cricket team? Batsman Problem, CV- missing frequency problem, calculating correct mean & SD from Wrong mean & wrong S.D, Calculation of Population Mean & Standard Deviation, Expected Value of Random Variable (Population Mean & SD calculation), Calculating Expected Value of Random Variable, Correlation Analysis, Concept of Correlation Analysis, Scattered Diagram, Karl Pearson’s Correlation coefficient, Karl Pearson’s solved problem, Karl Pearson’s solved problem-2, Covariance & KP correlation coefficient, Spearmans rank Correlation Coefficient, Spearman’s Correlation Solved problem, Coefficient of Concurrent Deviation, Regression Analysis & Predictive Modelling, Concept and types of Regression Analysis, Linear Regression, Minimum Least Square Method (MLSM), Calculating coefficients values, Ascombe’s Quartet, Regression Equations- x on y & y on x, Solved Problem-1, Predicting mom’s height based on daughter’s height, Solved problem-2, Calculating correlation coefficient of POPULATION (Probable Error), Solved Problem of Probable Error, Coefficient of Determination & Non- Determination, Probability Distribution, Concept of data distribution, Uniform Distribution, Binomial Distribution, Application of Binomial Distribution, Poison Distribution, Application of Poison Distribution, Poisson Distribution: Partial Interval, Normal Distribution,Standard Normal Distribution & formulae, Normal Distribution & Standard Normal Distribution, Z-Score & solving Business problems, Hypothesis Testing, Concept of Hypothesis Testing, Burden of proof, Standard Error, Why do we need Hypothesis testing?, Difference between Std Error & std Deviation, Type1 & Type 2 errors, Forming Hypothesis correctly, Examples-Forming Null & Alternate Hypothesis, Lower, Upper & 2 tailed Test, How to prove Hypothesis, What if researchers set 0% error?, Chi- Squared Analysis: Non- Parametric Test, Concept of Chi-Squared Test, CS2-Further clarification of Chi-Squared Test, Understanding Chi- Square Test Hypothesis, Solved Problem 1, Solved Problem 2, ANOVA: Parametric Test, Concept of ANOVA, Degree of Freedom, How to prove Hypothesis in ANOVA, Calculating F cal Value, Calculating F critical value, Solved problem of ANOVA, 1 way, 2 way & n-way Anova, Hypothesis making of 1 way & 2- way ANOVA, Post Hoc test, MANOVA
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Rating: 4.160876
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Instructional Level: Intermediate Level