INDIVIDUAL ASSIGNMENT 2
DUE DATE : 7th NOVEMBER 2016
1. The table below shows the length of random samples of aluminum rods produced by two
Sample standard devia
2. CONTINUOUS PROBABILITY DISTRIBUTIONS
At the end of this topic, you should able to,
Define the characteristics of a normal distribution.
Properties of standard normal probability distribution.
Standardize a normal distribution.
Finding probabilities o
1. Discrete Probability Distributions
On completion of this chapter,
- The term of random variable.
- differentiate discrete and continuous random variables.
- Requirement of discrete probability distribution.
- calculate the probability.
- calculate the
3 ESTIMATION AND CONFIDENCE INTERVALS
At the end of this lesson, you should able to,
Understand the meaning of population parameter, sample statistic, point estimator, and
interval estimator, sample proportion.
Calculate the mean and standard deviat
Lectures on Statistics
William G. Faris December 1, 2003
1 Expectation 1.1 Random variables and expectation . . 1.2 The sample mean . . . . . . . . . . . . 1.3 The sample variance . . . . . . . . . . 1.4 The central limit theorem . . . . . . .
Statistics 240 Lecture Notes
P.B. Stark www.stat.berkeley.edu/stark/index.html
November 23, 2010
Part 9: Robustness and related topics. ROUGH DRAFT
Hampel, F.R., Rousseeuw, P.J., Ronchetti, E.M., and Strahel, W.A., 1986. Robust Statistics: T
18.05 Lecture 8 February 22, 2005
3.1 - Random Variables and Distributions Transforms the outcome of an experiment into a number.
Probability Space: (S, A, P)
S - sample space, A - events, P - probability
Random variable is a function on