urstat
Maria McDermott
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Lesson 9.3
Confidence Interval for Two Proportions
Lesson 9.2
Hypothesis Test for One Proportion
Lesson 9.1
Confidence Interval for a Proportion
Lesson 8.2
Hypothesis Testing for Two Means
Lesson 8.1
Estimation for Two Means
Lesson 7.4
HT for One Mean
Lesson 7.3
Intro to Hypothesis Testing
Lesson 7.2
CI for One Mean
Lesson 7.1
Point Estimation
Lesson 5.3
Continuous Random Variables - Normal
Lesson 5.2
Continuous Random Variables - Exponential
Lesson 6.6
Functions of Random Variables
Lesson 6.5
Independence
Lesson 6.4
Conditional Distributions
Lesson 6.3
Marginal Distributions
Lesson 6.2
Joint Probability Distribution
Lesson 6.1
Linear Combination of a Random Variable
Lesson 5.5
Continuous Random Variables - Sampling Distribution of Sample Proportion
Lesson 5.4
Continuous Random Variables - Sampling Distribution of Xbar
Lesson 5.1
Continuous Random Variables - Uniform
Lesson 4.5
Random Variables - Poisson
Lesson 4.4
Discrete Random Variables - Hypergeometric
Lesson 4.3
Discrete Random Variables - Binomial
Lesson 4.2
Discrete Random Variables - Mean and Standard Deviation
Lesson 4.1
Discrete Random Variables - Random Variables
Lesson 3.4
Probability - Multiplication and Bayes' Rule
Lesson 3.3
Probability - Addition and Complement Rule
Lesson 3.2
Probability - Counting Rules
Lesson 3.1
Probability - Events
Lesson 2.2
Descriptive Statistics for Case CC
Lesson 2.1
Descriptive Statistics for Case CQ
Lesson 1.6
Chapter 1: Chebyshev's Rule and Empirical Rule
Lesson 1.5
Chapter 1: Measures of Spread
Lesson 1.4
Chapter 1: Measures of Center
Lesson 1.3
Chapter 1: Histograms and Boxplots
Lesson 1.2
Chapter 1: Describing One Categorical Variable
Lesson 1.1
Chapter 1: Introduction