Chapter 20: Tests for Ordinal Data
1. The ranks for the 10 subjects are as follows:
Subject:
Rank:
A B
1 2
C
4
D
4
E
4
F
6
G H
7.5 7.5
I
9
J
10
2. The ranks for the 8 subjects are as follows:
Subject: A B C D
Rank:
1.5 1.5 4 4
E
4
F
6
G
7
H
8
3. If one or
1
AP/HREQ/SOSC 1740 6.0A
Work and Society
Fall/Winter 2014-15
Course Director/Contact: Dr. Charles Battershill
Email:
Office Hours:
Lecture:
bizplandoctor@rogers.com
by appointment Founders 308
Thursday 7pm in TEL 0006
Tutorials:
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BIOL1000 S2015 Test 1 Study guide. This document is designed to help focus your
studyin. As mentioned in class, you should have been continually studying and this
document should help you focus your efforts. This also doesn not represent all
questions on
PSYC 2021 Statistical methods I
Summer 2015
June 4, 2015
Midterm test 1
Time permitted: 80 minutes
A. Facts
Answer all of the following ten questions. Each question is worth two marks.
1. In a study of urban development in Canadian cities, you gather data
Towards a new vision by Collins
Main points of the article are:
Our lives are framed by multiple systems of oppression
We need to understand these as not mutually exclusive categories for
analysis but as intersecting, parallel and dialectical
They can be
Chapter 18: Chi-Square Tests
1. Nonparametric tests make few if any assumptions about the populations from which the data
are obtained. For example, the populations do not need to form normal distributions, nor is it
required that different populations in
Chapter 16: Correlation
1. A positive correlation indicates that X and Y change in the same direction: As X increases, Y
also increases. A negative correlation indicates that X and Y tend to change in opposite
directions: As X increases, Y decreases.
2. T
Chapter 19: The Binomial Test
1. H0: p(home team win) = .50 (no preference). The critical boundaries are z = 1.96. With
X = 42, = 32, and = 4, we obtain z = 2.50. Reject H0 and conclude that there is a significant
difference. Home teams win significantly
Chapter 14: Repeated-Measures and Two-Factor ANOVA
1. For an independent measures design, the variability within treatments is the appropriate
error term. For repeated measures, however, you must subtract out variability due to individual
differences from
Chapter 13: Introduction to Analysis of Variance
1. When there is no treatment effect, the numerator and the denominator of the F-ratio are
both measuring the same sources of variability (random, unsystematic differences from
sampling error). In this case
Chapter 15: Two-Factor Analysis of Variance
1. a. In analysis of variance, an independent variable (or a quasi-independent variable) is
called
a factor.
b. The values of a factor that are used to create the different groups or treatment conditions
are cal
Chapter 17: Introduction to Regression
1.
2. The best fitting line is determined by the error between the predicted Y values on the line and
the actual Y values in the data. The regression equation is determined by the line with the
smallest total squared
Data collections of observations (such as measurements, genders, survey responses)
Statistics is the science of planning studies and experiments, obtaining data, and then organizing,
summarizing, presenting, analyzing, interpreting, and drawing conclusion