Title: A Complete Tutorial On Statistics And Probability | Edureka
Headings: All You Need To Know About Statistics And Probability
All You Need To Know About Statistics And Probability
Statistics and Probability:
What Is Data?
Categories Of Data
What Is Statistics?
Statistics And Probability Tutorial | Edureka
Basic Terminologies In Statistics
Sampling Techniques
Types Of Statistics
Descriptive Statistics
Inferential Statistics
Understanding Descriptive Statistics
Measures Of Centre
Measures Of The Spread
Descriptive Statistics In R
Entropy
Information Gain
Information Gain of attribute “windy”
Information Gain of attribute “outlook”
Information Gain of attribute “humidity”
Information Gain of attribute “temperature”
Confusion Matrix
Probability
What is the relation between Statistics and Probability?
What Is Probability?
Terminologies In Probability
Probability Distribution
Probability Density Function
Normal Distribution
Central Limit Theorem
Types Of Probability
Marginal Probability
Joint Probability
Conditional Probability
Bayes’ Theorem
Posterior= (Likelihood). (Proposition prior probability)/Evidence prior probability
Soln:
Statistical Inference
What is Point Estimation?
Finding The Estimates
What Is Interval Estimation?
What Is Confidence Interval?
What is Margin Of Error?
Estimating Level Of Confidence
Construction Of Confidence Interval
Hypothesis Testing
Hypothesis Testing In R
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Content: Terminologies In Probability
Probability Distribution
Types Of Probability
Bayes’ Theorem
Inferential Statistics
Point Estimation
Interval Estimation
Estimating Level Of Confidence
Hypothesis Testing
What Is Data? Look around you, there is data everywhere. Each click on your phone generates more data than you know. This generated data provides insights for analysis and helps us make better business decisions. This is why data is so important. What Is Data – Statistics and Probability – Edureka
Data refers to facts and statistics collected together for reference or analysis. Data can be collected, measured and analyzed. It can also be visualized by using statistical models and graphs. Categories Of Data
Data can be categorized into two sub-categories: Qualitative Data
Quantitative Data
Refer the below figure to understand the different categories of data: