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All Educational Materials for PSYB07H3 at University of Toronto Scarborough (UTSC)

UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Final Exam Guide - Comprehensive Notes for the exam (67 pages long!)

67 Page
29 Nov 2016
2 (- 2)2 (0: brackets (left to right, exponents (left to right, division & multiplication (left to right, addition & subtraction (left to right) Popula
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UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Final Exam Guide - Everything you need to know! (33 pages long)

33 Page
29 Nov 2016
The material covered in this chapter has been selected for two reasons. First, it is directly applicable to an understanding of the material presented
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UTSCPSYB07H3David NussbaumSummer

PSYB07H3 Study Guide - Comprehensive Final Exam Guide -

37 Page
20 Nov 2018
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UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Midterm Exam Guide - Everything you need to know! (33 pages long)

33 Page
5 Oct 2016
The material covered in this chapter has been selected for two reasons. First, it is directly applicable to an understanding of the material presented
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UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Midterm Exam Guide - Ultimate 67 pages long Study Guide!

67 Page
5 Oct 2016
2 (- 2)2 (0: brackets (left to right, exponents (left to right, division & multiplication (left to right, addition & subtraction (left to right) Popula
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UTSCPSYB07H3David NussbaumSummer

PSYB07H3 Study Guide - Summer 2018, Comprehensive Midterm Notes -

37 Page
12 Oct 2018
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UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Study Guide - Summer 2018, Comprehensive Midterm Notes - Video Game, Statistical Inference, Socioeconomic Status

16 Page
12 Oct 2018
Population - entire collection of events in which you are interested in studying or looking. Sample - a subset of the population. E. g. , tutorial (bec
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UTSCPSYB07H3Douglas BorsFall

PSYB07H3 Study Guide - Final Guide: Confidence Interval, Interval Estimation, Bias Of An Estimator

10 Page
18 Apr 2012
2 is unknown, we must estimate 2 with s2 i. e. if you. If is known and don"t know the population variance use the sample variance to estimate. Because
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UTSCPSYB07H3Douglas BorsFall

PSYB07H3 Study Guide - Final Guide: Null Hypothesis

1 Page
18 Apr 2012
Phi coefficient ( ) : 2 will establish (at the . 05 alpha level) whether two variables are related. A significant chi-square means we reject the null h
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UTSCPSYB07H3Dwayne PareWinter

PSYB07H3 Study Guide - Quiz Guide: Categorical Variable, Type I And Type Ii Errors

2 Page
4 Feb 2014
Practise: a researcher is interested in examining voting behavior of individuals in a small town. He contacted those eligible to vote to set up intervi
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UTSCWinter

PSYA02H3 Study Guide - Final Guide: Ammonia, Trigonal Pyramidal Molecular Geometry, Tu Youyou

11 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Study Guide - Midterm Guide: Session 9

2 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Midterm: CHMB41-FSG-Session-5-F17

2 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Study Guide - Final Guide: Covalent Bond

3 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Midterm: 2016termtest2ANSWER-KEY

4 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Study Guide - Midterm Guide: Fischer Projection, Enantiomer

2 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Study Guide - Midterm Guide: Conjugate Acid, Newman Projection, Decane

2 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Study Guide - Final Guide: Conjugate Acid, Lewis Acids And Bases, Ammonia

2 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Lecture Notes - Lecture 4: Propene, Lewis Structure

2 Page
17 Sep 2019
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UTSCWinter

PSYA02H3 Study Guide - Final Guide: Formal Charge, Bromine, Molecular Geometry

2 Page
17 Sep 2019
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UTSCPSYB07H3Dwayne PareFall

Assignment-1.pdf

1 Page
14 Apr 2014
A statistics instructor was interested in investigating the time of day his lectures were being held on students test scores. He selected a sample of 1
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UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Lecture Notes - Lecture 1: Shooter Game, Socioeconomic Status, Sample Size Determination

6 Page
24 May 2018
Population - entire collection of events in which you are interested in studying or looking. Sample - a subset of the population. E. g. , tutorial (bec
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UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Lecture 1: PSYB07 Lecture 1 Notes; Stats, Scales, Definitions

4 Page
17 Sep 2016
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 4: Interquartile Range, Statistical Inference, Quartile

12 Page
29 Sep 2016
Expected value of = : from an individual sample may not = (of a population) sample may not equal population, if i average the from many samples, the av
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 4: Conditional Probability, Mutual Exclusivity, Odds Ratio

9 Page
12 Oct 2017
Empirical view: toss a (cid:272)oi(cid:374) re(cid:272)ord the out(cid:272)o(cid:373)es, 10 times: 7 heads 0. 7, 20 times: 12 heads 0. 6, 100 times: 55
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 3: Kurtosis, Bar Chart, Skewness

9 Page
27 Sep 2016
Basic concepts: population vs sample, random sampling & external validity, random assignment & internal validity. Variable: independent vs dependent, d
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UTSCPSYB07H3Douglas BorsFall

PSYB07H3 Lecture Notes - Interquartile Range, Variance, Dependent And Independent Variables

7 Page
18 Apr 2012
Population entire collection of events/participants for the experiment. Sample a small representation of the population used for the experiment. Random
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 3: Quartile, Interquartile Range, Variance

22 Page
9 Oct 2017
Psyb07 descriptive statistics lecture 3, tutorial 2, chapter 2 (pg. Normal distribution/bell curve: single peak, symmetrical, can add a constant ex. ad
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 2: Histogram, Frequency Distribution, Bar Chart

8 Page
9 Oct 2017
Psyb07 lecture 2, tutorial 1 + chapter 2 (pg. Bedmas: brackets, exponents, division & multiplication, addition & subtraction. Population: entire collec
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UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Lecture 2: PSYB07 Lecture 2

8 Page
30 May 2018
Ds can be something that describes data from a sample/population. In is used to try to infer from the sample data what the population might think. Dist
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Chapter 5: Chapter #5 - Probability (Lec 4)

17 Page
28 Sep 2016
The oldest and most common definition of probability is called the analytic view. M&m"s in a bag of 100 m&m"s) and 76 ways of drawing a different color
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Chapter Notes - Chapter 1: Exploratory Data Analysis, John Tukey, Statistical Inference

5 Page
27 Sep 2016
Random sample: ensures each and every element in the population has an equal chance of being selected: example: putting numbers into a hat and drawing
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Chapter Notes - Chapter 2: Interquartile Range, Exploratory Data Analysis, Frequency Distribution

14 Page
27 Sep 2016
One of the simplest methods to reorganize data to make them more intelligible is to polot them in some sort of graphical form: frequency distributions,
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Chapter Notes - Chapter 5: Mutual Exclusivity, Seat Belt, Continuous Or Discrete Variable

27 Page
22 Sep 2016
The material covered in this chapter has been selected for two reasons. First, it is directly applicable to an understanding of the material presented
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UTSCPSYB07H3Douglas BorsFall

PSYB07H3 Chapter Notes - Chapter 1: Normal Distribution, Frequency Distribution, Unimodality

4 Page
9 Dec 2013
Stats, chapter one: displaying the order in a group of numbers using tables and graphs. Use stat methods to help them make sense of numbers they collec
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UTSCPSYB07H3Douglas BorsFall

PSYB07H3 Chapter Notes - Chapter 1-6: Effect Size, Type I And Type Ii Errors, Statistical Power

6 Page
25 Apr 2014
Notes: type i error, the lower the alpha, the smaller chance of a type i error, such as p < 0. 001. The result of a study has to be very extreme for th
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UTSCPSYB07H3dataWinter

stats CHAPTER 1.docx

4 Page
22 Apr 2012
Statistics: refers to a set of mathematical procedures for organizing, summarizing and interpreting information. Population: the set of all the individ
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UTSCPSYB07H3Gabriela IlieSummer

PSYB07H3 Chapter Notes - Chapter 1: Descriptive Statistics, Operational Definition, Dependent And Independent Variables

5 Page
2 Jan 2012
Statistics: a set of mathematical procedures for summarizing, organizing, & interpreting information. To summarize the info & reduce it to a set of fac
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UTSCPSYB07H3David NussbaumFall

PSYB01 Textbook Notes Chapter 4

1 Page
10 Sep 2013
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Chapter Notes - Chapter 1: Exploratory Data Analysis, Statistical Inference, John Tukey

2 Page
21 Nov 2012
Chapter 1 random sample: ensures that each and every element of the population has an equal chance of being selected; ex. Drawing names from a hat rand
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UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Final Exam Guide - Comprehensive Notes for the exam (67 pages long!)

67 Page
29 Nov 2016
2 (- 2)2 (0: brackets (left to right, exponents (left to right, division & multiplication (left to right, addition & subtraction (left to right) Popula
View Document
UTSCPSYB07H3Dwayne PareFall

Assignment-1.pdf

1 Page
14 Apr 2014
A statistics instructor was interested in investigating the time of day his lectures were being held on students test scores. He selected a sample of 1
View Document
UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Study Guide - Midterm Guide: Bernoulli Trial, Unimodality, Binomial Distribution

17 Page
17 Dec 2012
Under what conditions would the entire student body of your college or university be considered a population. Give two examples of independent variable
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UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Midterm Exam Guide - Everything you need to know! (33 pages long)

33 Page
5 Oct 2016
The material covered in this chapter has been selected for two reasons. First, it is directly applicable to an understanding of the material presented
View Document
UTSCPSYB07H3Dwayne PareWinter

PSYB07H3 Study Guide - Quiz Guide: Categorical Variable, Type I And Type Ii Errors

2 Page
4 Feb 2014
Practise: a researcher is interested in examining voting behavior of individuals in a small town. He contacted those eligible to vote to set up intervi
View Document
UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Final Exam Guide - Everything you need to know! (33 pages long)

33 Page
29 Nov 2016
The material covered in this chapter has been selected for two reasons. First, it is directly applicable to an understanding of the material presented
View Document
UTSCPSYB07H3Dwayne PareFall

[PSYB07H3] - Midterm Exam Guide - Ultimate 67 pages long Study Guide!

67 Page
5 Oct 2016
2 (- 2)2 (0: brackets (left to right, exponents (left to right, division & multiplication (left to right, addition & subtraction (left to right) Popula
View Document
UTSCPSYB07H3Douglas BorsFall

PSYB07H3 Study Guide - Midterm Guide: Interquartile Range, Central Tendency, Sampling Distribution

20 Page
16 Apr 2014
Variable - a property of an event or an object that can take on diff values. Ex: height, weight, eye colour, gender, temperature, pet type. Dependant v
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UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Lecture Notes - Lecture 1: Shooter Game, Socioeconomic Status, Sample Size Determination

6 Page
24 May 2018
Population - entire collection of events in which you are interested in studying or looking. Sample - a subset of the population. E. g. , tutorial (bec
View Document
UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Lecture 1: PSYB07 Lecture 1 Notes; Stats, Scales, Definitions

4 Page
17 Sep 2016
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture 9: Lecture 9

1 Page
30 Jan 2019
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture 7: Lecture 7

1 Page
30 Jan 2019
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 6: Standard Score, Standard Deviation, Sampling Distribution

3 Page
30 Jan 2019
Mario bros game interested in how well is his sister performing in comparison to other. Stage 1: u = 85, o = 5. Ian took 2 tests and he got 75 in both
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture 2: Lecture 2

5 Page
30 Jan 2019
Entire collection of events in which you are interested. Can be calculated for a population or a sample. Asking what is the average age of this class.
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture 1: Lecture 1

1 Page
30 Jan 2019
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UTSCPSYB07H3Dwayne PareFall

PSYB07H3 Lecture Notes - Lecture 2: First-Person Shooter, Sample Size Determination, Internal Validity

3 Page
14 Dec 2018
Math review: order of operations, bedmas. Descriptive vs inferential stats: descriptive stats, describe a data set, can be calculated for a population
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UTSCPSYB07H3David NussbaumSummer

PSYB07H3 Study Guide - Comprehensive Final Exam Guide -

37 Page
20 Nov 2018
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UTSCPSYB07H3David NussbaumSummer

PSYB07H3 Study Guide - Summer 2018, Comprehensive Midterm Notes -

37 Page
12 Oct 2018
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UTSCPSYB07H3Dwayne PareSummer

PSYB07H3 Study Guide - Summer 2018, Comprehensive Midterm Notes - Video Game, Statistical Inference, Socioeconomic Status

16 Page
12 Oct 2018
Population - entire collection of events in which you are interested in studying or looking. Sample - a subset of the population. E. g. , tutorial (bec
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UTSCPSYB07H3David NussbaumSummer

PSYB07H3 Lecture 5: New Doc 20

11 Page
21 Aug 2018
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