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

- About UTSC

## [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## [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## [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## [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## 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

View Document## 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

View Document## 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

View Document## 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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Frequently-seen exam questions from 2014 - 2018.

UTSCWinter

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

11 Page

17 Sep 2019

UTSCWinter

## PSYA02H3 Study Guide - Midterm Guide: Fischer Projection, Enantiomer

2 Page

17 Sep 2019

UTSCWinter

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

2 Page

17 Sep 2019

UTSCWinter

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

2 Page

17 Sep 2019

UTSCWinter

## PSYA02H3 Lecture Notes - Lecture 4: Propene, Lewis Structure

2 Page

17 Sep 2019

UTSCWinter

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

2 Page

17 Sep 2019

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

4 Page

17 Sep 2016

## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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,

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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

View Document## 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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Your classmatesâ€™ favorite documents.

## [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## 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## 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

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

33 Page

5 Oct 2016

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

33 Page

29 Nov 2016

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

67 Page

5 Oct 2016

## 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

View Document## 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## PSYB07H3 Lecture 1: PSYB07 Lecture 1 Notes; Stats, Scales, Definitions

4 Page

17 Sep 2016

## Most Recent

The latest uploaded documents.

## 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

View Document## 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.

View Document## 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

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

16 Page

12 Oct 2018