Textbook Notes for STAB22H3 at University of Toronto Scarborough (UTSC)

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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 26: Null Hypothesis, Confidence Interval, Interval Estimation

OC10247573 Page
30 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 25: Confidence Interval, Ipsos, Interval Estimation

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27 Nov 2018
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 24: Central Limit Theorem, Sampling Distribution, Standard Deviation

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23 Nov 2018
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 23: Bernoulli Distribution, Bernoulli Trial, Random Variable

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20 Nov 2018
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 22: Bayes Estimator, Random Variable, Squared Deviations From The Mean

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16 Nov 2018
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 21: Sample Space, Bayes Estimator

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13 Nov 2018
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UTSCSTAB22H3MorasWinter

Chapter 6

OC625013 Page
22 Apr 2011
55
Statistical inference draws conclusions about a population or process based on sample data. This chapter will only consider scenarios of inference abou
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UTSCSTAB22H3MorasWinter

Chapter 4

OC625010 Page
22 Apr 2011
73
Probability - a pattern that emerges clearly only after many repetitions. The proportion of times the outcome will occur in a long series of repetition
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UTSCSTAB22H3Mahinda SamarakoonSummer

STAB22H3 Chapter Notes - Chapter ALL: Jacques Louis Randon

Hafsah Ali37 Page
13 Dec 2016
9
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UTSCSTAB22H3MorasWinter

Chapter 5

OC62507 Page
22 Apr 2011
48
Sampling distributions of statistics provide the link between probability and data. Sampling distribution tells us about the results we are likely to s
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UTSCSTAB22H3Ken ButlerFall

STAB22H3 Chapter Notes - Chapter 2-30: Statistical Hypothesis Testing, Logistic Regression, The Bs

OC37574051 Page
28 Jan 2015
67
Course: data analysis, book: stats: data and models (richard d. de veaux) third edition. Data does not have to be numerical. Sometimes values look like
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UTSCSTAB22H3MorasWinter

Chapter 3

OC62507 Page
22 Apr 2011
51
Anecdotal evidence: individual cases that are striking in some way and occur rarely that needs not to be represented for any large group of cases. Ex:
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UTSCSTAB22H3Mahinda SamarakoonFall

STAB22H3 Chapter Notes - Chapter 1-6: The Leaves, Bar Chart, Contingency Table

OC50537012 Page
8 Feb 2016
27
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UTSCSTAB22H3Asal AslemansWinter

STAB22H3 Chapter Notes - Chapter 1: Pie Chart, Bar Chart, Categorical Variable

OC75395322 Page
24 Feb 2016
110
Which of the following is not a display method for categorical data: bar chart, histogram, pie chart. Determine whether the following examples of data
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UTSCSTAB22H3Mahinda SamarakoonFall

STAB22H3 Chapter Notes - Chapter 7-10: Subset, Standard Deviation, Southwest Ohio Regional Transit Authority

OC5053706 Page
8 Feb 2016
30
Scatterplot: graph that plots on quantitative variable versus another quantitative variable. They are the ideal way to picture associations. A pattern
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UTSCSTAB22H3Mahinda SamarakoonWinter

STAB22H3 Chapter Notes - Chapter 1-2: Frequency Distribution, Marginal Distribution, Contingency Table

OC8751312 Page
9 Jan 2017
6
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UTSCSTAB22H3Mahinda SamarakoonFall

STAB22H3 Chapter Notes - Chapter 14-17: Insead, Breath Test, Geometric Probability

OC50537014 Page
8 Feb 2016
45
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UTSCSTAB22H3MorasWinter

Chapter 2 (After Midterm)

OC62505 Page
22 Apr 2011
35
Explains the relationship between two variables only when one variable helps explain or predicts the other. Regression line: a straight line which show
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