Before we get started...-Course introduction
Hi there!
Welcome to Basic Statistics!
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How to navigate this course
How to contribute
Before we get started...-What to expect from this course
General info - What will I learn in this course?
Course format - How is this course structured?
Requirements - What resources do I need?
Grading - How do I pass this course?
Team - Who created this course?
Honor Code - Integrity in this course
Useful literature and documents
Research on Feedback
Exploring Data-Data and visualisation
Data and visualisation
1.01 Cases, variables and levels of measurement
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1.02 Data matrix and frequency table
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1.03 Graphs and shapes of distributions
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Exploring Data-Measures of central tendency and dispersion
Measures of central tendency and dispersion
1.04 Mode, median and mean
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1.05 Range, interquartile range and box plot
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1.06 Variance and standard deviation
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Exploring Data-Z-scores and example
Z-scores and example
1.07 Z-scores
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1.08 Example
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Exploring Data-Review
Transcripts - Exploring data
About the R labs
Correlation and Regression-Correlation
Correlation
2.01 Crosstabs and scatterplots
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2.02 Pearson's r
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Correlation and Regression-Regression
Regression
2.03 Regression - Finding the line
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2.04 Regression - Describing the line
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2.05 Regression - How good is the line?
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Reference
Correlation and Regression-Caveats & examples
Caveats and examples
2.06 Correlation is not causation
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2.07 Example contingency table
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2.08 Example Pearson's r and regression
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Reference
Correlation and Regression-Review
Transcripts - Correlation and regression
Probability-Probability & Randomness
Probability & randomness
3.01 Randomness
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3.02 Probability
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Probability-Sample space, events & tree diagrams
Sample space, events & tree diagrams
3.03 Sample space, event, probability of event and tree diagram
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3.04 Quantifying probabilities with tree diagram
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Probability-Probability & sets
Probability & sets
3.05 Basic set-theoretic concepts
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3.06 Practice with sets
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3.07 Union
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Probability-Conditional probability & Independence
Conditional probability & independence
3.08 Joint and marginal probabilities
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3.09 Conditional probability
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3.10 Independence between random events
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3.11 More conditional probability, decision trees and Bayes' Law
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Probability-Review
Transcripts - Probability
Probability Distributions-Probability distributions
Probability distributions
4.01 Random variables and probability distributions
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4.02 Cumulative probability distributions
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Probability Distributions-Mean and variance of a random variable
Mean and variance of a random variable
4.03 The mean of a random variable
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4.04 Variance of a random variable
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Probability Distributions-The normal distribution
The normal distribution
4.05 Functional form of the normal distribution
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4.06 The normal distribution: probability calculations
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4.07 The standard normal distribution
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Probability Distributions-The binomial distribution
The binomial distribution
4.08 The binomial distribution
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Probability Distributions-Review
Transcripts - Probability distributions
Sampling Distributions-Sample and sampling
Sample and sampling
5.01 Sample and population
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5.02 Sampling
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Sampling Distributions-Sampling distribution of sample mean and central limit theorem
Sampling distribution of sample mean and central limit theorem
5.03 The sampling distribution
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5.04 The central limit theorem
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5.05 Three distributions
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Reference
Sampling Distributions-Sampling distribution of sample proportion and example
Sampling distribution of sample proportion and example
5.06 Sampling distribution proportion
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5.07 Example
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Sampling Distributions-Review
Transcripts - Sampling distributions
Confidence Intervals-Inference and confidence interval for mean
Inference and confidence interval for mean
6.01 Statistical inference
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6.02 CI for mean with known population sd
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6.03 CI for mean with unknown population sd
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Confidence Intervals-Confidence interval for proportion and confidence levels
Confidence interval for proportion and confidence levels
6.04 CI for proportion
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6.05 Confidence levels
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Confidence Intervals-Sample size and example
Sample size and example
6.06 Choosing the sample size
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6.07 Example
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Confidence Intervals-Review
Transcripts - Confidence intervals
Significance Tests-Hypotheses and significance tests
Hypotheses and significance tests
7.01 Hypotheses
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7.02 Test about proportion
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7.03 Test about mean
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Significance Tests-Step-by-step plan and confidence interval
Step-by-step plan and confidence interval
7.04 Step-by-step plan
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7.05 Significance test and confidence interval
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Significance Tests-Type I and Type II errors and example
Type I and Type II errors and example
7.06 Type I and Type II errors
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7.07 Example
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Significance Tests-Review
Transcripts - Significance tests