Assignment 2
DueDate:March4,2011. MaterialCovered:Lessons9through13.
Question 1
According to one study, it has been claimed that 65% of all single men in Montreal would welcome a womantakingtheinitiativeinaskingforadate.Youdecidetochallengethisstudybype

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Lesson 6: Presenting Data - Study Notes
Slide 1:
Charts
Charts are the representation of data in a graphical form that can appear as bar/column charts, line
graphs, scatterplots, or pie charts.
Column/Bar Chart
Discrete data can be presented graphic

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Lesson 9: Conditional Probabilities - Study Notes
Slide 1:
Independent Probability
Overview: Events are said to be independent if, and only if, the occurrence of one does not affect
the probability of the occurrence of the other. In other words, if

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Lesson 8: The Nature of Probability - Study Notes
Slide 1:
Probability
Probability and statistics are related in a most curious way. In essence, inferential statistics is the
vehicle that enables the statistician to use information in a sample to ma

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Lesson 12: Confidence Intervals and Coefficient - Study Notes
Slide 1:
Confidence Intervals for Large Samples (n 30)
Sample sizes that are smaller than 30 may require a slightly altered technique since the distribution
cannot be assumed to be normal

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Lesson 11: Estimates and Repeated Sampling - Study Notes
Slide 1:
Parameters
Collecting data on every member of a population is impossible, too costly, or too timeconsuming. Therefore, researchers will collect data from a sample and use that resulti

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Lesson 14: Dependent Means Hypothesis Testing - Study Notes
Slide 1:
Independent vs. Dependent Samples
The previous sections dealt with the study of samples in order to make inferences about their
population. For example, testing the sample mean gav

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Lesson 13: Hypothesis Testing - Study Notes
Slide 1:
Hypothesis Testing
We make decisions every day. Whether it is about what to have for breakfast, whether or not to
cross a street, or what to watch on television, our everyday decisions range from

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Lesson 10: Probability Distributions - Study Notes
Slide 1:
Random Variables
Outcomes of probability experiments that can take on any numerical value are called random
variables. For example, if we toss a coin 5 times, the number of heads we observe

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Lesson 15: Independent Means Hypothesis Testing - Study Notes
Slide 1:
Independent Means Testing
In the previous section, we were introduced to the concept of independent and dependent
samples. Where the last section focused on the latter, this one

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Lesson 17: ANOVA - Study Notes
Slide 1:
Fundamental Principles
For the past few lessons we have progressively made our way through the various situations
that are encountered during hypothesis testing. Initially, we made inferences about a populatio

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Lesson 16: Ratio of Variance - Study Notes
Slide 1:
T-Stat's Revenge
As you may recall, there are certain situations that exist that would alter the way you would
normally approach a hypothesis-testing question. For instance, if the sample size was

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Lesson 18: Linear Correlation - Study Notes
Slide 1:
Correlation
The purpose of correlational analysis is to measure the strength of a linear relationship
between two variables. This can be established by simply inspecting a scatterplot made up of
t

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Lesson 19: Linear Regression - Study Notes
Slide 1:
Regression
Although correlation can tell us the strength of a given bivariate (two variables) relationship, it
does not tell us how to predict the values of variables involved. For instance, if we

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Lesson 7: Combinatorial Analysis - Study Notes
Slide 1:
Multiplication Principle
Definition: If an operation "A" can be carried out in n ways, and if for each of these ways, an
operation "B" can be carried out in m ways, then there are n*m ways of c

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Lesson 5: Measures of Position - Study Notes
Slide 1:
Quartiles
If a set of data is arranged in order of magnitude, the middle value (or arithmetic mean of the
two middle values) that divides the set into two equal parts is called the median, as we

Answer on Question #60778 Math Statistics and Probability
Question
- Determine the direction of the hypothesis test (one-sided left, one-sided right, bidirectional)
- Determine the test statistic (z* or t*) and the p-value for each of the following situat

Answer on Question #60731 Math Statistics and Probability
Question
Please find the limit(s) of the boundaries for the critical region for the following hypotheses (You only
need to find the z, t, or F-critical value in all cases, e.g., +/2.33. Please do n

Answer on Question #60734 Math Statistics and Probability
Question
You have been asked to compare two neighbourhoods in the west end of Montreal by a real estate
agency. The agency wants to know if a difference exists in the selling price of houses on Wes

Assignment 3
Due Date: July 19th, 2016 Corrections Due: August 2nd, 2016 - Material Covered: Lessons 13- 20
Question 1
Please find the limit(s) of the boundaries for the critical region for the following hypotheses (You only
need to find the z, t, or F-cr

Assignment 1
Due Date: May 24th, 2016 Corrections Due: June 7th, 2016 - Material Covered: Lessons 1-9.
Question 1
GlobaTel, a large manufacturer of electrical parts used in cell phone, is about to launch a new product
line. The company psychologist has be

Assignment 2
Due Date: June 28th, 2016 - Corrections Due: July 12th, 2016 - Material Covered: Lessons 9 - 13
Question 1
Determine the direction of the hypothesis test (one-sided left, one-sided right, bidirectional)
Determine the test statistic (z* or t*)

INTE 296 Final Exam
Summer 2000
Sample Final
Name:
I.D. Number:
Exam
Please show as much work as possible when answering these questions. Partmarks will be awarded for any half-decent attempts. Make sure you read
each question carefully and take note of b

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Lesson 1: Introduction - Study Notes
Slide 1:
What is Statistics?
There is no simple definition of the term "statistics". Depending on the background and interests
of the individual being questioned, answers will vary. Some believe that statistics i

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Lesson 2: Distributions - Study Notes
Slide 1:
Basic Notation
Before getting into the various methods used for presenting, describing, and analysing data, it
may be helpful to cover some of the basic notation used in statistics. Indeed, you will fin

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Lesson 4: Measures of Variability - Study Notes
Slide 1:
Introduction
Variability in a distribution of scores refers to the degree to which the scores in a given
distribution are spread out or clustered together.
As was the case in the previous less

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Lesson 3: Measures of Central Tendency - Study Notes
Slide 1:
Measures of Central Tendency (Median, Mean, Mode)
Measures of central tendency are numerical values that do just that, they indicate the middle of
a distribution of data. In the previous

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Lesson 20: Correlational Analysis - Study Notes
Slide 1:
Inferences Regarding the Correlation Coefficient
Once the correlation coefficient has been calculated using the sample data, we must ask
ourselves a question: "Is there enough evidence to conc