Statistical Methods(SM) Anderson's Chapter 6 Exercise solution.
Download Chapter 6 Continuous Probability Distributions exercise solution
Learning Objectives
- Understand the difference between how probabilities are computed for discrete and continuous random variables.
- Know how to compute probability values for a continuous uniform probability distribution and be able to compute the expected value and variance for such a distribution.
- Be able to compute probabilities using a normal probability distribution. Understand the role of the standard normal distribution in this process.
- Be able to use the normal distribution to approximate binomial probabilities.
- Be able to compute probabilities using an exponential probability distribution.
- Understand the relationship between the Poisson and exponential probability distributions.
- Chapter 3 Descriptive Statistics: Numerical Methods
- Chapter 4 Introduction to Probability
- Chapter 5 Discrete Probability Distributions
- Chapter 6 Continuous Probability Distributions
- Chapter 7 Sampling and Sampling Distributions
- Chapter 8 Interval Estimation
- Chapter 9, 10
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