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Study Guides for PSYC 3000 at Carleton University

CARLETONPSYC 3000Craig Leth- SteensenFall

[PSYC 3000] - Final Exam Guide - Comprehensive Notes for the exam (39 pages long!)

OC30589539 Page
29 Nov 2016
1
Data: the information we gather with experiments and surveys. Examples can be in form of measurements before and after, percentages, ratios, etc. Stati
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CARLETONPSYC 3000Bruce HutcheonWinter

PSYC 3000 Final: Cheat Sheet (Final Exam)

OC2512002 Page
13 Jan 2016
70
Decide what stat you are interested in: make hypothesis about nature of population sample is from, construct sampling dist, find observed value of stat
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CARLETONPSYC 3000allFall

PSYC 3000 Study Guide - Final Guide: Linear Discriminant Analysis, Blood Sugar, Logistic Regression

OC28639010 Page
11 Jul 2014
77
Dates and locations of mock exam take-up: april 21st: 11:00-12:30 in me room 3174, april 21st: 2:00-3:30 in me room 3328. It is most beneficial to you
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CARLETONPSYC 3000Bruce HutcheonWinter

exam.doc

OC356444 Page
26 Apr 2012
52
In a 1-way within-subjects anova the sum-of-squares term quantifying the stable differences between participants is calculated using all the observatio
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CARLETONPSYC 3000Bruce HutcheonSummer

final exam.docx

OC3564411 Page
21 Mar 2012
46
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CARLETONPSYC 3000Deanna C WhelanFall

PSYC 3000 Study Guide - Midterm Guide: Null Hypothesis, Scatter Plot, Normal Distribution

OC231035918 Page
10 Dec 2018
0
It is a way of measuring the extent to which two continuous variables are related (association, link, relationship) Each participant needs a score on e
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CARLETONPSYC 3000Deanna C WhelanFall

PSYC 3000 Study Guide - Midterm Guide: Null Hypothesis, Sampling Distribution, Normality Test

OC231035910 Page
10 Dec 2018
0
Same rules apply as before with z-scores and probability. Single sample t-test: 1 sample mean compared to a hypothesized mean. Independent samples t-te
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CARLETONPSYC 3000Deanna C WhelanFall

PSYC 3000 Study Guide - Midterm Guide: Likert Scale, Level Of Measurement, Categorical Variable

OC231035914 Page
10 Dec 2018
0
Categorical variable: nominal data, made of categories, i. e. , species, also known as discrete. Binary variable: only two categories, a yes or no type
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CARLETONPSYC 3000Craig Leth- SteensenWinter

PSYC 3000 Study Guide - Quiz Guide: Aspirin, Statistical Inference, Descriptive Statistics

OC15947363 Page
19 Mar 2017
0
Statistics the art and science of analyzing data. Data the information we gather with experiments and surveys. Statistics are made up of 3 main compone
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CARLETONPSYC 3000Bruce HutcheonWinter

PSYC 3000 Midterm: Cheat Sheet (Midterm #1)

OC2512002 Page
13 Jan 2016
35
Show all the data in a dataset sequentially. Reveals unusual relationships between variables rather than unusual values. Histograms: do not show all da
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CARLETONPSYC 3000Bruce HutcheonWinter

PSYC 3000 Midterm: Cheat Sheet (Midterm #2)

OC2512002 Page
13 Jan 2016
53
(e23 is the deviation). mean, and the deviation from the treatment mean. ** this means the value of observation xi2 is made up of a part that is due to
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CARLETONPSYC 3000Lise PaquetWinter

HOMEWORK 1.docx

OC23021515 Page
18 Dec 2014
42
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