Lecture 23
th March 2015
4
When do we add or subtract from the value of
X?
ALWAYS draw a picture
Pr(a<X<b)
If X is binomial then the continuity correction
for X should be
Exercise 12.9: Forty percent
1. John Theberge (noted wolf researcher in Algonquin Park) catches and
collars 67 wolves. He assumes that he has captured a random sample of
animals. For each of the animals he determines whether or n
Tutorial Test 1
This section will be covered by Odyssey
Instructions
Marking Scheme:
1. Please note that there are questions on both sides
of the page.
2. Answer the questions in the spaces provided.
Lecture
October 31, 2011
Chapter 5
Sampling Distribution ofY (contd)
Mean and Standard Deviation of
the Sample Mean
Suppose a population has parameters
given by the mean and the standard
deviation
Lecture 2
th Jan 2015
7
Exercise 7.4: A health care provider wants to rate its
members satisfaction with physical therapy. A
questionnaire is mailed to 800 members of the health
plan selected at rando
Instructions
Marking Scheme:
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page.
2. Answer the questions in the spaces provided
3. Only question pages will be marked
4. You may tear off
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Question 1 -Multiple choice (11110 = 10 marks, no marks will be deducted for wrong
answers). Circle the letter corresponding to the correct answer.
1. Based on the Venn Diagram below, what event is re
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Tutorial 7951 a/ VB
Question 1 -Multiple choice (11110 = 10 marks, no marks will be deducted for wrong
answers). Circle the letter corresponding to the correct answer.
1. Based on the V
A few random facts about me
I once lived in South Africa
I have a twin brother and,
I like to bake
Im also pretty friendly so feel free to
come by my office hours even just to say
Hi
Welcome to
Lecture 7
th Jan 2015
19
Examining Relationships
Between Variables
Problem: Do people who attend a
diabetes control class manage their blood
glucose levels better than those that
received individual
Lecture 10
th Jan 2015
26
Example: In a study of the relationship
between health risk and income, a large
group of people were asked a series of
questions. Some results are shown
below.
Low
Income
Me
Lecture 11
th Jan 2015
28
Dice example contd:
Suppose we roll a die once and let
A=cfw_Roll an even number and
B=cfw_The number is greater than 3
Find Pr(A|B)
Example: What is the probability that a
Lecture 9
rd Jan 2015
23
Probability (Chapters 9 and
10)
Introduction to Probability:
We can define probability in 3 ways.
1.Subjective
2.Relative Frequency
3.Mathematical/ Classical
Subjective
Base
Lecture 6
th Jan 2015
16
The Histogram (Chapter 1, pg 14)
Is another graphical technique that can be used to
represent data.
Used to describe the data (i.e shape, spread, centre,
outliers, etc)
A Hist
Lecture 5
th Jan 2015
14
Example 2.3.1: Weight Gain of Lambs: The
following data are the two-week weight gains (lb) of
six young lambs of the same breed that have been
raised on the same diet:
11, 13
Lecture 4
th Jan 2014
12
Outliers
These are values that are more extreme than the
others in the data.
For example: 1, 5, 7, 1000
Outlier?
For example: -0.6, -10, -2.5, 0, 1, 0.6
Outlier?
Buffer Soluti
Lecture 3
th Jan 2015
9
Describing Data (Chapter 2)
Types of Data
Quantitative (Numeric) Variable
Takes on a numeric value
Can be measured
Quantifies some aspect of an individual or thing.
Qualitat
Instructions
1. Please note that there are questions on both sides of the
page
2. Answer the questions in the spaces provided
3. Only question pages will be marked
4. You may tear off the last page to
Instructions
1. Please note that there are questions on both sides of the
page
2. Answer the questions in the spaces provided
3. Only question pages will be marked
4. You may tear off the last page to
Tutorial Test 1
This section will be covered by Odyssey
Instructions
Marking Scheme:
1. Please note that there are questions on both sides
of the page.
2. Answer the questions in the spaces provided.
Chapter 12: Discrete
probability distributions.
Binomial Distribution.
Objectives
Discrete probability distributions
The binomial setting and binomial distributions
Binomial probabilities
Binomial mea
Chapter 11:
The Normal distributions
Objectives
The Normal distributions
Normal distributions
The 68-95-99.7 rule
The standard Normal distribution
Using the standard Normal table (Table B)
Inverse Nor
Chapter 4: Regression
Objectives
Regression
The least-squares regression line
Finding the least-squares regression line
The coefficient of determination, r 2
Outliers and influential observations
Maki
Chapter 14 &17 Part
I: Confidence
Intervals
Objectives
Introduction to inference
Uncertainty and confidence
Confidence intervals
Confidence interval for a Normal population mean (three cases)
Uncertai
Stat 202
Chapters 9 & 10
p. 1/21
Probability
Definition: A probability experiment or a Trial is a chance process that leads to
well-defined results called outcomes. (You know all possible outcomes bef
Chapter 20
Comparing two proportions
Objectives
Comparing two proportions
Comparing 2 independent samples
Confidence interval for 2 proportion
Large sample method
Plus four method
Test of statistical
Chapter 3: Correlation
Determining the relationship between variables.
Student
Hours of study (x)
Grade (y)
A
6
82
B
2
63
C
1
57
D
5
88
E
2
68
F
3
75
1. Are two variables x and y related?
2. If so, wh