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All Educational Materials for STAB22H3 at University of Toronto Scarborough (UTSC)

UTSCSTAB22H3Asal AslemandWinter

STAB22H3- Final Exam Guide - Comprehensive Notes for the exam ( 24 pages long!)

OC48050024 Page
28 Mar 2018
0
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UTSCSTAB22H3Asal AslemandSummer

STAB22H3- Final Exam Guide - Comprehensive Notes for the exam ( 31 pages long!)

OC116718431 Page
28 Mar 2018
0
Can"t see everything or measure it all. What we can measure might be inaccurate. How late the flight was (0=on time) Can only count how many individual
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UTSCSTAB22H3Olga Chilina Srishta Chopra Ken ButlerSummer

STAB22H3- Final Exam Guide - Comprehensive Notes for the exam ( 108 pages long!)

Vivian Chau108 Page
28 Mar 2018
0
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UTSCSTAB22H3Caren HaslerFall

[STAB22H3] - Final Exam Guide - Comprehensive Notes for the exam (40 pages long!)

OC105499740 Page
29 Nov 2016
159
Statistics: is a way to understand the world by using tools and other methods such as data. Data varies since we are not able to see everything and mea
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UTSCSTAB22H3Caren HaslerFall

[STAB22H3] - Midterm Exam Guide - Everything you need to know! (21 pages long)

OC105499721 Page
5 Oct 2016
112
Statistics: is a way to understand the world by using tools and other methods such as data. Data varies since we are not able to see everything and mea
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Study Guide - Fall 2018, Comprehensive Midterm Notes - Dependent And Independent Variables, Standard Deviation, Histogram

OC102475743 Page
5 Nov 2018
0
Stab22- lecture 2 introduction to statistics: sept 7th, 2018, what is statistics, we try to understand the world using data collected, data includes, o
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UTSCSTAB22H3Nnenna AsidianyaFall

STAB22H3 Final: stats exam review 4

OC10549592 Page
19 Dec 2017
0
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UTSCSTAB22H3Mahinda SamarakoonFall

STAB22H3 Final: Finals Notes for Stats

Aahad Siddiqui41 Page
22 Aug 2016
10
Can"t see everything or measure it all. What we can measure may be incorrect. When planning a statistical study, ask the person the following, 490 = jo
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UTSCSTAB22H3Olga ChilinaFall

STAB22H3 Study Guide - Final Guide: Simple Random Sample, Bar Chart, Pie Chart

OC19884523 Page
9 Jan 2014
58
Ensure that you have a scantron answer sheet and a #2 pencil, and com- plete the scantron sheet according to the instructions (otherwise your exam may
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UTSCSTAB22H3Olga ChilinaSummer

summary-test-statistics.pdf

OC1374661 Page
6 Aug 2013
69
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Frequently-seen exam questions from 2014 - 2018.
UTSCSTAB22H3AllFall

STAB22 Midterm 2007 Fall

OC254029413 Page
31 Jan 2019
0
For this examination, you are allowed one handwritten letter-sized sheet of notes (both sides) prepared by you, a non-programmable, non-communicating c
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UTSCSTAB22H3AllFall

STAB22 Final Exam 2007 Fall

OC254029423 Page
31 Jan 2019
0
Ensure that you have a scantron answer sheet and a #2 pencil, and com- plete the scantron sheet according to the instructions (otherwise your exam may
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UTSCSTAB22H3AllFall

STAB22 Final Exam 2011 Fall

OC254029422 Page
31 Jan 2019
0
For this examination, you are allowed two handwritten letter-sized sheets of notes (both sides) prepared by you, a non-programmable, non-communicating
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UTSCSTAB22H3AllSpring

STAB22 Midterm 2008 Spring

OC254029413 Page
31 Jan 2019
0
For this examination, you are allowed one handwritten letter-sized sheet of notes (both sides) prepared by you, a non-programmable, non-communicating c
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UTSCSTAB22H3AllFall

STAB22 Midterm 2008 Fall

OC254029414 Page
31 Jan 2019
0
For this examination, you are allowed one handwritten letter-sized sheet of notes (both sides) prepared by you, a non-programmable, non-communicating c
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UTSCSTAB22H3AllWinter

STAB22 Final Exam 2007 Winter

OC254029418 Page
31 Jan 2019
0
For this examination, you are allowed two handwritten letter-sized sheets of notes (both sides) prepared by you, a non-programmable, non-communicating
View Document
UTSCSTAB22H3AllSpring

STAB22 Final Exam 2007 Spring

OC254029426 Page
31 Jan 2019
0
Ensure that you have a scantron answer sheet and a #2 pencil, and com- plete the scantron sheet according to the instructions (otherwise your exam may
View Document
UTSCSTAB22H3AllWinter

STAB22 Final Exam 2009 Winter

OC254029417 Page
31 Jan 2019
0
For this examination, you are allowed two handwritten letter-sized sheets of notes (both sides) prepared by you, a non-programmable, non-communicating
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UTSCSTAB22H3AllFall

STAB22 Midterm 2009 Fall

OC254029414 Page
31 Jan 2019
0
For this examination, you are allowed one handwritten letter-sized sheet of notes (both sides) prepared by you, a non-programmable, non-communicating c
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UTSCSTAB22H3AllFall

STAB22 Final Exam 2008 Fall

OC254029418 Page
31 Jan 2019
0
For this examination, you are allowed two handwritten letter-sized sheets of notes (both sides) prepared by you, a non-programmable, non-communicating
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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

OC10247574 Page
27 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
23 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
20 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
16 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
13 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 20: Bayesian Probability, Sample Space

OC10247573 Page
10 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Study Guide - Fall 2018, Comprehensive Midterm Notes - Dependent And Independent Variables, Standard Deviation, Histogram

OC102475743 Page
5 Nov 2018
0
Stab22- lecture 2 introduction to statistics: sept 7th, 2018, what is statistics, we try to understand the world using data collected, data includes, o
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 19: Sample Space, Bayesian Probability

OC10247573 Page
6 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 18: Observational Study, Block Design, Random Assignment

OC10247573 Page
2 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 17: Observational Study, The Control Group, Statistical Significance

OC10247574 Page
30 Oct 2018
0
Stab22 lecture 17 observational studies and experiments: tuesday, october 30th, 2018 week 9, observational study vs. Experiment: observational study, o
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 16: Simple Random Sample, Multistage Sampling, Stratified Sampling

OC10247573 Page
27 Oct 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture 15: STAB22 – Lecture fifteen - Sampling

OC10247573 Page
23 Oct 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 14: Dependent And Independent Variables, Sample Size Determination

OC10247574 Page
19 Oct 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 10: Dependent And Independent Variables, Scatter Plot

OC10247573 Page
5 Oct 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 9: Standard Deviation, Scatter Plot, Dependent And Independent Variables

OC10247574 Page
2 Oct 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 8: Standard Deviation, Quartile, Unimodality

OC10247573 Page
28 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 7: Standard Deviation, Standard Score, Quartile

OC10247573 Page
25 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture 6: STAB22 – Lecture six - Understanding and comparing distributions

OC10247573 Page
21 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 5: Standard Deviation, Quartile, Interquartile Range

OC10247573 Page
18 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 4: Probability Distribution, Marginal Distribution, Confounding

OC10247572 Page
14 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 3: Contingency Table, Joint Probability Distribution, Marginal Distribution

OC10247573 Page
11 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 2: Level Of Measurement

OC10247573 Page
7 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture 1: Lecture one - Housekeeping and Brief Introduction

OC10247571 Page
5 Sep 2018
0
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture Notes - Lecture 18: Random Assignment, Bipolar Disorder, Fish Oil

OC25203512 Page
7 Mar 2019
0
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture Notes - Lecture 17: Observational Study, Insomnia, Dependent And Independent Variables

OC25203512 Page
4 Mar 2019
0
Stab22 - lecture 17 - experimental studies & observational studies (march 4th, 2019) Observational study : observes individuals and measures variables
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 15: Sample Surveys, Census, Populations, Parameters, Samples, Simple Random Sampling

OC25203512 Page
26 Feb 2019
0
Stab22 - lecture 15 - sample surveys, census, populations, parameters, samples, A sample survey are the usual surveys that people ask you to do. These
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture Notes - Lecture 12: Scatter Plot, Microsoft Powerpoint, Dependent And Independent Variables

OC25203512 Page
14 Feb 2019
0
Stab22 - lecture 12 - outliers, high leverage points, influence, cautions & restricted. Interpretation of regression slope : when x increases by 1 unit
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 11: Patterns in Residual Plots, Outliers, Leverage, & Influence

OC25203512 Page
12 Feb 2019
0
Stab22 lecture 11 - patterns in residual plots, outliers, leverage, & influence (february 11th, 2019) Remember that in previous lecture, we defined res
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 10: Correlation and Its Properties, Correlation & Causation, Linear Regression & Least Square Regression Lines, Coefficient of Determination, Residuals

OC25203512 Page
6 Feb 2019
0
Stab22 - lecture 10 - correlation and its properties, correlation & causation, linear. Regression & least square regression lines, coefficient of deter
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 9: Normal Quantile Plots, 68-95-99.7 Rule, Scatterplots, Correlation and it's Properties

OC25203512 Page
5 Feb 2019
0
Stab22 - lecture 9 - normal quantile plots, 68-95-99. 7 rule, scatterplots, correlation and its properties (february 4th, 2019) These are important in
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 8: Model, Normal Calculations, Inverse Calculations and Z-table

OC25203512 Page
30 Jan 2019
0
Stab22 lecture 8 - model, normal calculations/inverse calculations/z-table. The z-score helps us understand how weird a value can be, if it doesn"t fol
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 7: Box Plot Diagrams, Density Curves, Normal Distribution, Mean, Standard Deviation, Z-Scores & Standardization

OC25203512 Page
29 Jan 2019
0
Stab22 - lecture 7 - box plot diagrams, density curves, normal distribution, mean, It"s a 5 number summary which includes the following: a maximum, min
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UTSCSTAB22H3AllWinter

STAB22H3 Final: STAB22H3 - Final Exam

OC53748840 Page
15 Sep 2018
0
Independence, general multiplication rule, multiplication rule for independent events. Week 9: random variables, discrete random variables. Probability
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UTSCSTAB22H3AllWinter

STAB22H3 Midterm: STAB22H3 - Term Test 1

OC53748864 Page
15 Sep 2018
0
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UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
30 Nov 2018
0
View Document
UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture 1: Lecture one - Housekeeping and Brief Introduction

OC10247571 Page
5 Sep 2018
0
View Document
UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 2: Level Of Measurement

OC10247573 Page
7 Sep 2018
0
View Document
UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 17: Observational Study, The Control Group, Statistical Significance

OC10247574 Page
30 Oct 2018
0
Stab22 lecture 17 observational studies and experiments: tuesday, october 30th, 2018 week 9, observational study vs. Experiment: observational study, o
View Document
UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
20 Nov 2018
0
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UTSCSTAB22H3Mahinda SamarakoonFall

STAB22H3 Lecture Notes - Lecture 1: Level Of Measurement

OC1062633 Page
14 Sep 2015
50
Introduction: facilitative study center (fsc, good group that isn"t mandatory for course, but will help you do better in this course (extra help, proff
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 19: Sample Space, Bayesian Probability

OC10247573 Page
6 Nov 2018
0
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UTSCSTAB22H3Caren HaslerFall

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

OC10247573 Page
16 Nov 2018
0
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 8: Model, Normal Calculations, Inverse Calculations and Z-table

OC25203512 Page
30 Jan 2019
0
Stab22 lecture 8 - model, normal calculations/inverse calculations/z-table. The z-score helps us understand how weird a value can be, if it doesn"t fol
View Document
UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 4: Probability Distribution, Marginal Distribution, Confounding

OC10247572 Page
14 Sep 2018
0
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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 SamarakoonSummer

STAB22H3 Chapter Notes - Chapter ALL: Jacques Louis Randon

Hafsah Ali37 Page
13 Dec 2016
9
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Chapter Notes - Chapter 8: Summary Statistics, Scatter Plot, Dependent And Independent Variables

OC10549972 Page
15 Oct 2016
30
Nonlinearity: is a curve that is used instead of a line. It is necessary to make a residual plot in order to fully determine whether a linear model is
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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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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Chapter Notes - Chapter 15 - 17: Central Limit Theorem, Simple Random Sample, Confidence Interval

OC10549974 Page
10 Dec 2016
2
Normal underlying distribution of population: sizes increases, the variance decreases. ) bigger. Sampling distribution: is a random distribution used i
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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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UTSCSTAB22H3Mahinda SamarakoonWinter

STAB22H3 Chapter Notes - Chapter 3: Bar Chart, Contingency Table, Marginal Distribution

OC639661 Page
16 Jan 2015
24
Frequency table (relative frequency table): a frequency table lists the categories in a categorical variable and gives the count (or percentage) of obs
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Chapter Notes - Chapter 10: Cluster Sampling, Stratified Sampling, Labour Force Survey

OC10549974 Page
24 Oct 2016
24
Population: is the entire group of individuals that a researcher is interested in. It is hard to obtain information from the whole group. Sample: a par
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UTSCSTAB22H3Mahinda SamarakoonWinter

STAB22H3 Chapter Notes - Chapter 1&2: Statistical Unit, Ordinal Data, Categorical Variable

OC13673555 Page
8 Dec 2016
17
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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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UTSCSTAB22H3Caren HaslerFall

[STAB22H3] - Final Exam Guide - Comprehensive Notes for the exam (40 pages long!)

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Statistics: is a way to understand the world by using tools and other methods such as data. Data varies since we are not able to see everything and mea
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UTSCSTAB22H3Caren HaslerFall

[STAB22H3] - Midterm Exam Guide - Everything you need to know! (21 pages long)

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Statistics: is a way to understand the world by using tools and other methods such as data. Data varies since we are not able to see everything and mea
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UTSCSTAB22H3AslemandFall

STAB22H3 Study Guide - Final Guide: Null Character, Serbian Language, Tnf Receptor Associated Factor

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5 Jan 2015
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UTSCSTAB22H3Asal AslemansWinter

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

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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 SamarakoonWinter

STAB22H3 Study Guide - Midterm Guide: Time Series, Standard Deviation, Linear Map

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27 Nov 2012
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Data are numbers with a context, and we need to understand the context if we are to make sense of the numbers. Individuals: are the objects described i
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UTSCSTAB22H3Mahinda SamarakoonFall

STAB22 Midterm: STAB22- Midterm Study Guide

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17 Oct 2015
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What is statistics: a way of reasoning, a collection of tools and methods to help us understand the world, all about variation. Who, what, where, when,
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UTSCSTAB22H3Asal AslemandWinter

STAB22H3- Final Exam Guide - Comprehensive Notes for the exam ( 24 pages long!)

OC48050024 Page
28 Mar 2018
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UTSCSTAB22H3Mahinda SamarakoonWinter

STAB22H3 Study Guide - Final Guide: Becquerel, European Credit Transfer And Accumulation System, Turtle Island Quartet

OC2815604 Page
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Study Guide - Fall 2018, Comprehensive Midterm Notes - Dependent And Independent Variables, Standard Deviation, Histogram

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Stab22- lecture 2 introduction to statistics: sept 7th, 2018, what is statistics, we try to understand the world using data collected, data includes, o
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UTSCSTAB22H3allFall

STAB22H3 Exam Solution: Simple Random Sample, Confidence Interval, Sample Space

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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture Notes - Lecture 18: Random Assignment, Bipolar Disorder, Fish Oil

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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture Notes - Lecture 17: Observational Study, Insomnia, Dependent And Independent Variables

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Stab22 - lecture 17 - experimental studies & observational studies (march 4th, 2019) Observational study : observes individuals and measures variables
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STAB22H3 Lecture 15: Sample Surveys, Census, Populations, Parameters, Samples, Simple Random Sampling

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Stab22 - lecture 15 - sample surveys, census, populations, parameters, samples, A sample survey are the usual surveys that people ask you to do. These
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture Notes - Lecture 12: Scatter Plot, Microsoft Powerpoint, Dependent And Independent Variables

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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 11: Patterns in Residual Plots, Outliers, Leverage, & Influence

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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

STAB22H3 Lecture 10: Correlation and Its Properties, Correlation & Causation, Linear Regression & Least Square Regression Lines, Coefficient of Determination, Residuals

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Stab22 - lecture 10 - correlation and its properties, correlation & causation, linear. Regression & least square regression lines, coefficient of deter
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UTSCSTAB22H3Caren Hasler, Mahinda SamarakoonSpring

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STAB22H3 Lecture Notes - Lecture 2: Unimodality, Standard Deviation, Box Plot

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Stat crunch: graphics > histogram then choose frequency or relative frequency. A distribution w/ one major peak is called unimodal. Measures of center:
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UTSCSTAB22H3Caren HaslerFall

STAB22H3 Lecture Notes - Lecture 5: Linear Regression, Scatter Plot, Dependent And Independent Variables

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1 Feb 2019
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Example 1: population (in millions) in a country for 2000-2005 (recorded as 0, 1, 2, 3, 4, 5). The regression equation is: population = 5. 19 + 0. 686
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STAB22H3 Lecture Notes - Lecture 1: Pie Chart, Confounding, Social Class

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A way of reasoning, along with a collection of tools and methods designed to help us understand the world . In statistics, we try to understand the wor
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