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STA 304H1F/1003H F SUMMER 2016, First Test, May 26 (20%)
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Duration: 55 min. Allowed: nonprogrammable hand-calculator, aid-sheet, one page, with xd
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Introduction to Statistical Ideas and Methods
Confidence Intervals
Sample Size for Estimating a Proportion
The goal of this lecture is to learn how to determine the sample size needed to estimate a
proportion. When planning any study, determining the numb
Introduction to Statistical Ideas and Methods
The Effective Use of Statistical Tests
Power and Type I and Type II Errors
When carrying out a statistical test about their data, it is often the case that researchers
would like to show that the alternative h
Introduction to Statistical Ideas and Methods
The Effective Use of Statistical Tests
Some General Advice About Statistical Tests
We have now seen a number of situations were we can use statistical tests in order to help
us make conclusions about our data.
Introduction to Statistical Ideas and Methods
Confidence Intervals in R
This document shows how to construct confidence intervals in R. We will show methods of
finding confidence intervals for proportions and means of distributions. Two methods will be us
STA 220 - L0401
WEEK 8 - MIXED BAG OF GOODIES
PROFESSOR K. H. WONG
AGENDA
1. Take up Week 8 Worksheet
2. Knowledge check: mixture of practice problems to be completed
in paired discussion
PROBLEM 1
Suppose the average water usage of a 2 member household i
STA 220 - Week 2
Names:
Student #s:
September 20, 2016
Remember to show all your work and thought processes so that we may give appropriate
feedback for your own learning
The goal of the practice problems is for you to practice the concepts and problem so
STA220 Fall 2015 Additional Problems - Week 1 Modules
1. (Source: OpenIntro Stats 1.27) In a class of 25 students, 24 of them took an exam in class and 1 student
took a make-up exam the following day. The professor graded the first batch of 24 exams and f
Introduction to Statistical Ideas and Methods
Confidence Intervals
Confidence Intervals for Proportions
Imagine an experiment with two outcomes. Let p denote the unknown true probability of
getting a successful outcome on any one trial. This probability i
Introduction to Statistical Ideas and Methods
Confidence Intervals
Introduction to Confidence Intervals
Recall the way we are thinking about data and the inferential process:
Figure 1: Overview of the inferential process
In the real world, we have observe
Name:
Know Your Samples!
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1. An example of this sampling method is randomly
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STA 220 - Week 4
Names:
Student #s:
October 4, 2016
Remember to show all your work and thought processes so that we may give appropriate
feedback for your own learning
The goal of the practice problems is for you to practice the concepts and problem solvi
Introduction to Statistical Ideas and Methods
The Effective Use of Statistical Tests
Connection Between Confidence Intervals and Testing
We now know about confidence intervals and hypothesis testing. In this lecture, we are going
to consider the connectio
STA 220 - Week 3
Names:
Student #s:
September 27, 2016
Remember to show all your work and thought processes so that we may give appropriate
feedback for your own learning
The goal of the practice problems is for you to practice the concepts and problem so
STA220 Fall 2015 Additional Problems - Week 1 Modules
Answers
1. (a) Decrease. The new students score is smaller than the mean of the previous scores.
(b) (24 74 + 64)/25 = 73.6
(c) Increase. The new students score is more than one standard deviation away
STA 303H1S / STA 1002HS: Loglinear Models / Poisson Regression Practice
Problems
SOLUTIONS
1. In a log-linear model, the mean of Y is and the model is log() = 0 + 1 X1 . Y is not
transformed. If a simple linear regression is used after a log transformatio
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UNIVERSITY OF TORONTO
Faculty of Arts and Science
STA304H1F/1003HF FALL 2015 MIDTERM TEST #2 SOLUTIONS
November 25, 2015
Duration- 50 minutes
Aids: Two-sided handwritten notes (8 1/2 x 11) and a non-programmable calculator.
Instructions: This test consist
Student #:
First name:
Last name:
UNIVERSITY OF TORONTO
Faculty of Arts and Science
JUNE 2016 EXAMINATIONS
STA 304H1 F/1003H F
Duration 3
hours
Examination Aids: Non-Programmable Calculator, aid sheet, eight one-sided pages, or four twosided pages, with t
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STA 304H1F WINTER 2014, Second Test, March 21 (20%)
Duration: 55 min. Allowed: nonprogrammable hand-calculator, aid-sheet, four pages, with
theoretical formulas only, as posted on the web-site; the tes
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STA 304H1S SUMMER 2009, Second Test, June 11 (20%)
Duration: 50min. Allowed: hand-calculator, aid-sheet, one side, with theoretical
formulas and definitions only
[50] 1) A survey
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. Student #:
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STA 322H1 F SUMMER 2008, Second Test, June 12 (20%)
Duration: 50min. Allowed: nonprogrammable hand-calculator, aid-sheet, one side,
with theoretical formulas only; the test contains 4 pages, please c
Last name:
First name:
Student #:
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STA 304H1F/1003H F SUMMER 2013, Second Test, June 13 (20%)
o
Duration: 55 min. Allowed: nonprogrammable hand-calculator, aid-sheet, five pages, with xdi
theoretical formulas only, as posted on the web-site; the test
Last name, first name:
. Student #:
STA 304H1 S WINTER 2013, Second Term-test, March 22 (20%)
Duration: 1h. Allowed: hand-calculator, aid-sheet, one sided or two sided, with
theoretical formulas, as posted on Portal. Test has 4 pages.
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STA 304H1F/1003H F SUMMER 2016, First Test, May 26 (20%)
o
Duration: 55 min. Allowed: nonprogrammable hand-calculator, aid-sheet, one page, with xd
ia
theoretical formulas only, as posted on the web-site; the test c
UNIVERSITY OF TORONTO
DEPARTMENT OF STATISTICAL SCIENCES
STAZSSHlS-Statistical Theory
July I4, 2016
Time: 120 Minutes
Term Test
Student Number:
Family NamezW First Name:
Instructions:
1. Aids: a nonprogrammable calculator and a one-sided, handwritten
STA255
Chapter 3: Discrete Random Variables and Their Probability
Distributions
Summer 2016
STA255
Summer 2016
1 / 60
Outline
1
Random Variables
2
Probability Distributions for Discrete Random Variables
Discrete Probability Distributions
Expected Values f
STA255
Unit 4: Continuous Probability Distributions
Summer 2016
STA255
Summer 2016
1 / 47
Outline
1
Continuous Random Variables
Probability Density Function
Cumulative Distribution Function
2
Expected Values for Continuous Random Variables
3
The Variance
STA255
Chapter 2: Probability
Summer 2016
STA255
Summer 2016
1 / 44
Outline
1
A Review of Set Notation
2
A Probabilistic Model for an Experiment: The Discrete Case
3
Tools for Counting Sample Points
Addition and Product Rules
Partitioning
4
Examples and A