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Probability

Probability

Lecture

  • Introduction to Statistics and Data
  • Types of Statistics%2C types of Data and sources of Data%2C Population vs Sample
  • Scales of Measurement
  • Data representation techniques- Part 1
  • Data representation techniques- Part 2 and measures of central tendency- Part 1
  • Measures of Central Tendency- Part 2
  • Examples of introduction to data and data representation techniques
  • Measures of Variation
  • Applications of Measures of Central Tendency and Measures of Variation
  • Chapter concepts- Measures of central tendency and measures of variation%2C Outliers%2C and shape of a distribution
  • Numerical Descriptive Measures
  • Covariance and Coefficient of Correlation%2C Introduction to Probability
  • Probability- Part 1
  • Probability- Part 2
  • Probability- Part 3
  • Probability Distributions- Part 1
  • Probability Distributions- Part 2
  • Probability Distributions- Part 3
  • Examples for Standardized Normal Distribution
  • Evaluating Normality%2C Exponential Probability Distribution
  • Chapter Concepts %C3%A2%E2%82%AC%E2%80%9C Probability Distributions
  • Sampling and Sampling Techniques
  • Sampling Distribution-I
  • Sampling Distribution-II
  • Sampling Distribution-III
  • Method of Estimation
  • Interval Estimation
  • Confidence Interval-I
  • Confidence Interval-II
  • Types of Hypothesis Testing
  • Hypothesis Testing Process-I
  • Hypothesis Testing Process-II
  • Hypothesis Testing Examples
  • Hypothesis Testing of Proportions-I
  • Hypothesis Testing of Proportions-II
  • Hypothesis Testing-One sample Test
  • Hypothesis Testing using Minitab
  • Hypothesis Testing of Proportions using Minitab
  • Hypothesis Testing Two Sample Test-I
  • Hypothesis Testing Two Sample Test-II
  • Hypothesis Testing_ Two sample test-III
  • Paired Sample Test
  • Hypothesis Testing of Proportion
  • Example of Hypothesis Testing
  • Design of Experiment
  • Analysis of variance-I
  • Analysis of variance-II
  • Analysis of variance-III
  • Tukey Kramer test
  • Randomized Blocked Design
  • A Factorial Design-I
  • A Factorial Design-II
  • Chi-square test goodness of fit-I
  • Chi-square test goodness of fit-II
  • Chi-square test of independence
  • Simple linear regression %C3%A2%E2%82%AC%E2%80%9CI
  • Simple linear regressionI
  • Simple linear regression %C3%A2%E2%82%AC%E2%80%9CII
  • Simple linear regressionII
  • Assumption of Regression
  • Multiple Regression
  • Example of multiple Regression
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