Computer Lab 2
Probability and Sampling Distributions
Simulation random data
Summarizing results
Simulating other distributions
Calculating means and standard deviations
The central limit theorem
Simulating random data
Minitab can be used to simulate
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135.2 135.2 135.3 135.3 135.4 135.5 135.5 135.
DISCRETE DISTRIBUTIONS
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NORMALITY OF SAMPLE MEANS
First make a bar graph of this discrete distribution.
The graph is shown below, and it certainly does
Chapter 1: Introduction and Descriptive Statistics
1.1 Populations, samples
1. Population vs. Sample
Population: the collection of all people or objects under consideration in a statistical
study
Census: desired information is available for all objects
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FREQUENCY DISTRIBUTION
Open Minitab and worksheet Cell Phone Survey.MTW
We would like to create a frequency distribution for the variable Make.
Click on Stat > Tables > Tally Individual Variables.
Select C3 Make into the Variables: box. Bel
Chapter2: Probability
Introduction
Study the randomness and uncertainty
Quantify the chances or an event
Sample spaces and events
Venn diagram
Tree diagram
Denition and probability rules
Counting Techniques
Finish an experiment in k steps, using
Name_
Instructor: Xiaoli Gao
ID Number_
Max Points: 120
STA: 226
Midterm I-Practice Exam
This is a closed-book exam. Please answer all questions to earn full credit. Please be sure to
write your name and ID number in the space above. Do all your work in t
Course Notes for STA 226;
Xiaoli Gao
Chapter 4: Continuous Random Variables and Distributions
Probability Density Functions
Cumulative Distribution Functions and Expected Values
Normal distribution
Other Continuous distribution
1
4.1 Probability Densi
Computer Lab Session 1
INTRODUCTION TO MINTAB
1. About MINITAB. About the lab sessions.
Minitab can perform a wide variety of tasks, from the
construction of graphical and numerical summaries for a set
of data to the more complicated statistical procedure
Course Notes for STA 226;
Xiaoli Gao
Chapter3: Discrete Random
Variables and Probability
Distributions
Random variables
Probability distributions for discrete random
variables
Expected value and variance
Binomial probability distribution
Poisson prob