Haley Fembleaux
Guided Exercise 6
STAT200195
1a. n= [(1.96^2)(5^2)]/ (.8^2) = 150.0625= 151 is the minimum sample size you would
need.
1b. BOE: +/- (1.96)(5/SQRT(151) = +/- .7975126896= +/-.8
2a. The Type 1 error would be refusing the shipment when the we
Overview
Probability II
We will continue our journey through probability
This involves
Dr Tom Ilvento
Department of Food and Resource Economics
More terms!
Defining Events
Ways to lay out the sample space
I will also give you some basic rules of counting
Overview
Dr Tom Ilvento
The number of people with each type are given as well as the
breakdown of Rh+ and Rh- (in parentheses).
40
Group B: 10
Rh+ (35)
Rh- (5)
Rh+ (8)
Rh- (2)
Group AB: 5
Rh+ (4)
Rh- (1)
Group O: 45
Rh+ (39)
Rh- (6)
Union of Events
Inters
Overview
Sampling Distributions,
Hypothesis Tests and
Confidence Intervals
Dr Tom Ilvento
Department of Food and Resource Economics
We will continue the discussion on Sampling
Distributions
A major theorem is the Central Limit Theorem
And a Confidence Int
Overview
Sampling Distribution
of the Mean
Dr Tom Ilvento
Department of Food and Resource Economics
This is one of the most important topics in the
course
Sampling distributions are key to the logic of
inference
It is based on the notion of taking many, m
Overview
Normal Table
Gymnastics
Lets continue working with the normal table
And I will show you how to do some table
gymnastics to solve for:
Dr Tom Ilvento
Department of Food and Resource Economics
probabilities out in the tails
probabilities between tw
Overview
Discrete Random
Variables
Random Variables variables that assume numerical
values associated with random outcomes from an
experiment
Random variables can be:
Dr Tom Ilvento
Continuous
We will look at the probability Distribution for Random
Variab
Overview
Continuous Random Variables
and the Normal Distribution
Dr Tom Ilvento
Department of Food and Resource Economics
Most intro stat class would have a section on
probability - we dont
But it is important to get exposure to the normal
distribution
We
Binomial Random
Variables
Overview
A special case of a Discrete Random Variable is the
Binomial
Dr Tom Ilvento
Department of Food and Resource Economics
In many cases the responses to an experiment are
dichotomous
Sucess/Failure
Yes/No
Alive/Dead
Support
Overview
Confidence Intervals
for Small Sample Means
Dr Tom Ilvento
Department of Food and Resource Economics
We discussed a confidence interval for
proportions and means
For the confidence interval we needed
An estimator either the sample proportion
or t
Overview
Table Odds and Odds
Ratios
Continue working with the smoking data
But add in some things on odds and odds ratios
Plus a chance to practice all of it!
Dr Tom Ilvento
Department of Food and Resource Economics
2
Lets look at the Smoking data using a
Overview
Table Probabilities and
Independence
Dr Tom Ilvento
Department of Food and Resource Economics
This lecture will focus on working with categorical
data and building tables
It will walk you through cross-tabulation of
categorical data
And show you
STAT 200
Guided Exercise 5
For On-Line Students, be sure to:
Key Topics
Submit your answers in a Word file to Sakai at the
Sampling Distributions
same place you downloaded the file
Confidence Intervals
Remember you can paste any Excel or JMP output in
Overview
An Introduction to
Probability
This part of the course will focus on basic aspects of
probability
Probability provides us two purposes
Dr Tom Ilvento
a foundation for an important area of statistics - how
likely is an event to happen
a set of too