- Probability
- • concept of a normal distribution as an example of a continuous probability model and its mean and variance; use of N(μ, σ2) as a probability model
- • standard normal distribution
- • finding the value of P(X < x1) or a related probability, given the values of x1, μ, σ
- • symmetry of the normal curve and its properties
- • finding a relationship between x1, μ, σ given the value of P(X < x1), or a related probability
- • solving problems involving the use of E(aX + b) and Var (aX + b)
- • solving problems involving the use of E(aX + bY) and Var (aX + bY), where X and Y are independent
- Discrete random variables
- Normal Distribution
- Sampling
- Hypothesis testing
- Correlation and Linear Regression
What is the difference between variance and standard deviation?
What is the difference between mutually exclusive and independent events?
How do I get better at statistics? All the different values such as pop mean or SD is so confusing. Any input will be greatly appreciated.
How mean change standard deviation?
How to calculate root-mean-square
Anyone got any tips on statistics? I could really use the help...