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Introduction to Statistics (MT,120)


Content
  • Lecture 1- Overview (clone)
  • Lecture 2- Glance (clone)
  • Definition, terminology (clone)
  • Study Designs (Cross- Sectional, Case-control, Cohort) (clone)
  • Variables and Types of Variables (clone)
  • Bar Chart, Pie Chart, Frequency Tables (clone)
  • Histograms and Density Plots for Numeric Variables (clone)
  • Boxplots in Statistics (clone)
  • Plots for Two Variables (clone)
  • Describing Distributions (clone)
  • Mean, Median and Mode in Statistics (clone)
  • Percentiles, Quantiles and Quartiles in Statistics (clone)
  • Standard Deviation & Degrees of Freedom Explained (clone)
  • Sample and Population in Statistics] (clone)
  • Normal Distribution, Z- scores & Empirical Rule (clone)
  • Samples from a Normal Distribution (clone)
  • Central Limit Theorem & Sampling Distribution Concepts (clone)
  • Standard Error of the Mean: Concept and Formula (clone)
  • Confidence Interval Concept Explianed (clone)
  • Hypothesis Testing Explained (clone)
  • T- Distribution in Statistics and Probability (clone)
  • Confidence Interval for Mean with Example (clone)
  • Margin of Error & Sample Size for Confidence Interval (clone)
  • Booststrapping and Resampling in Statistics with Example (clone)
  • Hypothesis Testing: Calculations and Interpretations (clone)
  • Hypothesis Testing: One Sided vs Two Sided Alternative (clone)
  • Hypothesis Test vs. Confidence Interval (clone)
  • Errors and Power in Hypothesis Testing (clone)
  • Power Calculations in Hypothesis Testing (clone)
  • Statistical Inference Definition with Example (clone)
  • Bivariate Analysis Meaning (clone)
Completion rules
  • All units must be completed
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