Fisher's exact test
Fishers exact test is a test of independence. The test is based on an exact distribution rather than
on the approximate chi-square distribution used for the Pearson's and likelihood ratio tests.
Fishers exact test is useful when the ex

Hypothesis Testing
1. The MBA department is concerned that dual degree students may be receiving lower grades than the
regular MBA students. Two independent random samples have been selected 250 observations from
population 1 (dual degree students) and 21

1.
A computer is programmed to generate the eight single digit integers cfw_1, 2, 3, 4, 5, 6,
7, 8 with equal frequency. Consider the experiment the next integer generated and
these events:
A: Odd number cfw_1, 3, 5, 7
B: number greater than 4cfw_5, 6, 7,

Math 115 Project 3
Please do the following on a separate sheet of paper, in order, and submit in Blackboard inside
the Project 3 assignment, as one pdf or one doc file. You may use technology for part a without
showing work, but you must show all work on

WEEK 8 EXERCISES (the last oneyou made it!)
Enter your answers in the spaces provided. Save the file using your last name as the beginning of
the file name (e.g., ruf_week8_exercises) and submit via Assignments. When appropriate,
show your work. You can d

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Week 3
1
Last week, we found that average performance ratings do not differ between males and
females in the population.
Now we need to see if they differ among the grades. Is the average performace rating the
same for all grades?
(Assume variances are eq

SECTION A
Part I
1. For a preliminary investigation to validate if prices of pink diamond jewellery have
increased, select at least two (2) but not more than four (4) variables. Explain why you
chose these variables. Describe the data using appropriate ch

METHODS ON PROPORTION
ONE PROPORTION
Confidence interval
F
1
Lower limit (P ) =
L
+ F
2
1
where
= 2x
= 2 (n x +1)
x = number of events
n = number of trials
F = lower /2 point of F with and degrees of freedom
1
2
1
2
F
1
Upper limit (P ) =
U
+ F
2
1

CONTINGENCY TABLE
Contingency tables are often used to summarize the relationship between two
categorical variables: one is designated as the row variable and the other as
column variable. If both variables are binary, then their occurrence in a sample
ca

POISSON REGRESSION MODEL FOR COUNT RESPONSE
Poisson distribution is used as a model for the number of events (failures, defects etc.). A Poisson
distribution is determined by one parameter, , which is both the mean and variance of the distribution.
When v

1
Contingency Tables
Measure association between categorical variables. Similar to Pearsons Correlation Coefficient for
numerical variables.
1.1
Probability Structure
Distribution of ONE categorical variable X, with possible outcomes x1 , . . . , xk
The d

Appendix B
Generalized Linear Model
Theory
We describe the generalized linear model as formulated by Nelder and Wedderburn (1972), and discuss estimation of the parameters and tests of hypotheses.
B.1
The Model
Let y1 , . . . , yn denote n independent obs

Chapter 5
Log-Linear Models for
Contingency Tables
In this chapter we study the application of Poisson regression models to
the analysis of contingency tables. This is perhaps one of the most popular
applications of log-linear models, and is based on the

Chapter 7
Survival Models
Our final chapter concerns models for the analysis of data which have three
main characteristics: (1) the dependent variable or response is the waiting
time until the occurrence of a well-defined event, (2) observations are censo

Chi-squared Test of Independence
The test is applied when you have two categorical variables from a single population. It is used to
determine whether there is a significant association between the two variables.
For example, in an election survey, voters

MAT220.92: STATISTICS I [MOD4 ONLINE (3/8 - 5/1/10)] (MAT220.921130001233) > UNIT 4 > TAKE ASSESSMENT: MIDTERM EXAM
Take Assessment: Midterm Exam
Question
2 points
1
Save
In statistics, the name given to a numerical characteristic of a sample is
called:
A

HCS/438
Finals
UOP Online
Total Points: 20
Please submit to the Assignments Folder by August 9, 2010
1. An owner of a fast food restaurant reported to corporate headquarters that the average
bill paid by his customers in the last quarter was $6.20 and tha

Progression to certainty
Consider the predicted impact by Hurricane Katrina along the Gulf Coast as a confidence
interval. As the hurricane drew closer to land, meteorologists' predictions of where impact would
be made became more precise. In other words,

ordered a dessert
did not order a
dessert
Total
Ordered Did not
an
order an
appetizer appetizer Total
30
44
74
12
42
24
68
36
110
The marginal distribution for the customers ordered a dessert is 74/110 = 0.672727
The marginal distribution for the customer

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