KIN 371 Study Guide Midterm 1
Define the following terms
Z-score
inferential statistics
sampling error
standard error of the
mean
central limit theorem
level of confidence
skewness
kurtosis
a standard score from a distribution with a mean of 0 and a
stand
KIN 371
Lohse
1
11/4/14
Name:_ANSWER KEY_
Homework #3: Z-scores and the normal curve.
1. For a population with = 90 and = 25, find the corresponding z-score for the following x
values:
X = 95
.2
X = 110
.8
X = 65
-1.0
X = 80
-.4
2. (F) One reason for tran
Student Number: _
Page 1 of 7
PART I: Multiple Choice (15 marks; 1 mark per question)
For the following questions, choose the most accurate/best option and write the option letter in
the answer sheet.
*ONLY ANSWERS INDICATED ON THE ANSWER SHEET (PAGE 2) W
KIN 371 Study Guide Midterm 1
Define the following terms
Z-score
inferential statistics
sampling error
standard error of the
mean
central limit theorem
level of confidence
Skewness
kurtosis
1.
If you were measuring the effects of a weight training program
YOUR NAME: _
KIN 371-002
Final Exam
Student #: _
Fall 2013
You may use scratch paper and a calculator. You can also use your book and notes. SHOW
YOUR WORK when appropriate. CIRCLE YOUR FINAL ANSWERS.
1. [3 pts] Assuming that alpha is fixed (e.g. at 0.05)
1
KIN 371 Pre mid-term MC sample questions
Choose the most accurate / best option.
1) Adding a constant to every score in the data will cause the distribution curve to:
a) shift/move, but the curve stays the same size
b) become wider and the curve to shif
Page 1
HKIN 371 Problem Set 5
Simple ANOVA, post-hoc analysis
1)
Source of
variance
SS
df
MS
F
p
Between groups
_
1
_
_
_
Within groups
21.7
_
1.206
Total
52.95
_
a)
b)
c)
d)
Fill in the missing values in the table above.
What kind of ANOVA is this?
How m
Lecture 11:
One Way ANOVA
Repeated Measures
Laura McAvinue
School of Psychology
Trinity College Dublin
Analysis of Variance
One way ANOVA
Factorial ANOVA
One Independent
Variable
More than One
Independent Variable
Between
Repeated
subjects
measures /
With
Parametric Hypothesis testing
Does our sample mean differ
from population mean?
Do our sample means differ
from each other?
Do we know the
population standard
deviation?
Yes
Are the samples independent?
No
Z-test
No
Yes
One-sample
t-test
2 means:
Independ
Repeated Measures
ANOVA
Quantitative Methods in HPELS
440:210
Agenda
Introduction
The Repeated Measures ANOVA
Hypothesis Tests with Repeated Measures
ANOVA
Post Hoc Analysis
Instat
Assumptions
Introduction
Recall There are two possible
scenarios when
Page 1
HKIN 371 Problem Set 7
Multiple regression
Question 1 (hint: use a Venn diagram)
A) Given that the shared variance between X1 and X2 is greater than 50%, and the shared
variance between X2 and X3 is also greater than 50%, is there shared variance
b
Lecture 11:
One Way ANOVA
Repeated Measures
Laura McAvinue
School of Psychology
Trinity College Dublin
Analysis of Variance
One way ANOVA
Factorial ANOVA
One Independent
Variable
More than One
Independent Variable
Between
Repeated
subjects
measures /
With
Multiple regression
Understanding output
Statistical Testing
How do we add predictors to our model?
When do we stop adding predictors?
How do we read the statistical output of
multiple regression?
Methods of Multiple Regression (MR)
There are many ways to
Page 1
HKIN 371 Problem Set 6
Correlation and simple regression
1. Some studies show that there is a near-zero correlation between hours spent studying
and performance on exams. Based on this evidence, would you recommend that students
study less? Why or
Repeated Measures
Design
Repeated Measures ANOVA
Instead
of having one score per subject,
experiments are frequently conducted in
which multiple scores are gathered for each
case
Repeated Measures or Within-subjects
design
Advantages
Design
nonsystema
The bivariate regression
equation
Y^ = bX + a
a
% Fat
(Y)
b = rise/run
Skinfolds
(X)
Standard Error of Estimate,
S.E.E.
Regression line
Homoscedasticity
Class Exercise:
Predicting height from weight
Given that standard deviation of height =
7cm and r = .8
Page 1
HKIN 371 Problem Set 4
t-Tests, power, effect size
1) Define the following terms:
a) Standard error of the difference (SED)
b) Power
c) Effect size
2) List four assumptions of the t-test.
3) A researcher assigned children randomly to one of two gro
Chapter 5
Multiple correlation and multiple regression
The previous chapter considered how to determine the relationship between two variables
and how to predict one from the other. The general solution was to consider the ratio of
the covariance between
Complete
Chapter 10
Ch 8 deals with nding CI and performing hypothesis tests on a single population
mean (1-sample) and comparing 2 population means.
Ch 10 is an extension and deals with comparing more than 2 population means.
The technique is called Anal
THE UNIVERSITY OF BRITISH COLUMBIA
SCHOOL OF KINESIOLOGY
KIN 371: INTRODUCTION TO STATISTICS
2014 Winter Section 002
Instructor:
Class:
Office hours:
Nicole Ong (Email: [email protected])
Mon / Wed / Fri 11:00 11:50; Woodward/IRC 6
Wed / Fri 9:30am
l Anova
in
Factoria
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dep
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Ch
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ANOVA factory
Making stats awesomer since 1918
What is Factorial ANOVA?
Multiple independent variables
Recall: Factors = number of _
Simple ANOVA or RM ANOVA were only
Determining significance of r
Must determine df
df = Npairs 2
Npairs = number of pairs of XY scores
Check Table A.2 in back of textbook
Determine if calculated r-value exceeds
critical r
at a = .10 (at p < .10) getting used to seeing p < .05 or p < .
Star
HKIN 371 Problem Set 2
Transformations, Normal Curve, Standard Scores
1) Professor Confundus gives his 89 students a multiple choice exam made up of 73
questions (each question worth 1 mark). The mean score on the exam is 67% and the
standard deviation is
The perils of ice cream
Just when you thought it was safe to go
swimming in the summer
The incidence of drowning
deaths is positively correlated
with ice cream sales.
Example from:
http:/en.wikipedia.org/wiki/Spurious_relationship
Correlation does not imp
Page 1
HKIN 371 Problem Set 5
Simple ANOVA, post-hoc analysis
1)
Source of
variance
SS
df
MS
F
p
Between groups
_
1
_
_
_
Within groups
21.7
_
1.206
Total
52.95
_
a)
b)
c)
d)
Fill in the missing values in the table above.
What kind of ANOVA is this?
How m
Page 1
KIN 371 Problem Set 8
Repeated-measures ANOVA
1. Below is the output of a one-way repeated-measures ANOVA. Besides the fact that
between-subjects information is left out, some within-subjects information is also
missing.
SS
df
MS
F
p
Between
treatm
Page 1
KIN 371 Problem Set 9
Factorial ANOVA
1. A nutritionist conducted a study in which every participant consumed daily doses of a
dietary supplement or a placebo (factor = drug), and were prescribed either a walking,
biking or swimming exercise progra
Chapter 8
Correlations:
Relationships among
variables
Recall: Statistics
Statistics is a mathematical technique by
which data are organized, treated, and
presented for interpretation and
evaluation.
Statistics usually serves one of two functions
Descripti
KIN 371:
Introduction to Statistics in
Kinesiology
www.ubc.ca
Thenextweb.com
Classes 21, 22, & 23: Testing
the Differences Between Two
Means
March 1st, 3rd, & 6th, 2017
ubyssey.ca
Digitalspy.co.uk
KIN 371: Introduction to Statistics in
Reading:
Chapter 9:
KIN 371 (001) Introduction to Statistics in Kinesiology
Class Location: Woodward (Instructional Resources Centre IRC) Room 6
Class Meeting times: Monday, Wednesday, and Friday 11-12pm
Instructor: Carolyn McEwen, PhD
Email: [email protected]
Office: We
KIN 371:
Introduction to Statistics in
Kinesiology
www.ubc.ca
Thenextweb.com
Classes 20 & 21: Estimating the
Mean of a Population
February 27th & March 1st, 2017
ubyssey.ca
Digitalspy.co.uk
KIN 371: Introduction to Statistics in
Announcements and Reminder
www.archdaily.co
m
www.ubc.ca
Thenextweb.com
KIN 371:
Introduction to Statistics in
Kinesiology
Classes 24 & 25: Errors in
Hypothesis Testing, Statistical
Power, and Effect Size
March 8 & 10, 2017
ubyssey.ca
Digitalspy.co.uk
KIN 371: Introduction to Stati
SCHOOL OF KINESIOLOGY
The University Of British Columbia
KIN 371: Introduction to Statistics in Kinesiology
Assignment 1 (Total Marks: 37 marks)
Overview
The purpose of this assignment is to develop and enhance students learning of statistical concepts
di