STA101 Main Page
Inference
How it Works
Types
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of
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Inference+Conditions
Data
Examples
Types of Data
Random
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Sampling
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Techniques
Sampling Biases
Random
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Experiment
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Principles
Exploratory Data Analysis
Summary Statistics
Visualizations
Probability and Bayesian Inference
General Probability Rules
Binomial Distribution
Normal Distribution
Bayesian Inference
Distributions
Types
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of
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Data
Discrete vs. Continuous
Type
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of
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Discrete
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Distribution:
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Binomial
Type
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of
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Continuous
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Distribution:
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Normal
Where
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Data
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Comes
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From
Population Distribution
Sample Distribution
Sampling Distribution
Randomization Distribution
Bootstrap Distribution
Frequentist Inference
Key Concept: p-value
p-value vs. CI Inference
Assessing
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Hypothesis
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Tests
Hypothesis Testing
CLT-Based
Single Mean HT
Paired Means HT
Independent Means HT
Single Proportion HT
Two Proportion HT
Randomization Testing
Comparing Two Means HT
Comparing Two Medians HT
Comparing Two Proportion HT
Single Proportion HT
Bootstrap Testing
Comparing Two Means HT
Comparing Two Medians HT
Comparing Two Proportion HT
Single Proportion HT
Other
ANOVA
Chi-squared-Goodness-of-Fit
Chi-squared-Independence-Test
Confidence Intervals
CLT-Based
Single Mean HT
Paired Means HT
Independent Means HT
Single Proportion HT
Two Proportion HT
Bootstrap Testing
Single Mean CI
Paired Means CI
Single Median CI
Single Proportion CI
Modeling
Simple
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Linear
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Regression
Multiple
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Linear
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Regression
Connecting Concepts
STA101 Course Notes: Fall 2019
Recent Updates
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