Item
Numb
er
Term
1
Descriptive statistics
2
Inferential statistics
3
Data
Numb
er of
your
Answe
r
1
7
11
24
4
Parameter
5
Sample
6
Random Sample
7
Variable
8
Frequency
distribution
9
Independent
variable
10
Dependent variable
11
Percentile Rank
12
Mean
1
The professional career I am currently working towards is Organizational Management with an
Emphasis in Human Services. As a professional in this career, I am guessing I would read the
Organizational Dynamics Journal. This journal is based on behavior and
An Extensive Analysis of
GNH Index
May 2012
Karma Ura
Sabina Alkire
Tshoki Zangmo
Karma Wangdi
!"#$%&'$()$%*'$+$),
Centre for Bhutan Studies
!
An extensive analysis of GNH Index
Copyright The Centre for Bhutan Studies
First published 2012
ISBN 978-99936-1
Washington University Jurisprudence Review
Volume 7 | Issue 2
2015
The Origins of the Pursuit of Happiness
Carli N. Conklin
Follow this and additional works at: http:/openscholarship.wustl.edu/law_jurisprudence
Part of the Jurisprudence Commons, Law and P
Journal of Undergraduate Research
at Minnesota State University,
Mankato
Volume 13
Article 5
2013
A Study of Happiness
Rachel Mills
University of Missouri-Kansas City
Follow this and additional works at: http:/cornerstone.lib.mnsu.edu/jur
Part of the Appl
How To Access A New Engagement
1. Click on this link https:/ezproxy.chadronstatelibrary.com/login?url=http:/search.ebscohost.com/login.aspx
?direct=true&db=nlebk&AN=179945&site=eds-live
2. If off-campus, you will be prompted to enter your username and pas
Chapter 11 Practice Questions
1. An ANOVA stands for:
a) analysis of variance.
b) analysis of operative variability.
c) analysis of covariance.
d) analysis of associated variance.
2. Below is the F statistic which indicates the ratio of two measures of va
SPSS 9 Assignment-ANOVA
General Instructions: In this assignment, we will be examining 2 One-Way ANOVAs and interpreting the results. As with
previous assignments, the Aspelmeier and Pierce text does a wonderful job of explaining how to actually run the t
SPSS 9 Assignment-ANOVA
General Instructions: In this assignment, we will be examining 2 One-Way ANOVAs and interpreting the results. As with
previous assignments, the Aspelmeier and Pierce text does a wonderful job of explaining how to actually run the t
PSY_480_VA-HW14
Christina Paquette
#4:
In paired t test, we have the same people in each condition of the study, and we create a difference
score for each person. In the independent samples t test, we have different people in each condition of
the study,
SPSS 7 AssignmentPaired Sample t Test
General Instructions: In this assignment, we will be interpreting the results of 2 paired sample t tests. As with previous
assignments, the Aspelmeier and Pierce text does a wonderful job of explaining how to actually
PSY_480_VA-HW23
#18:
A-Sign is not considered to determine the strength of correlation. Since 0.31 is larger than 0.28, a
correlation coefficient value of -0.31 indicates stronger correlation between variables than that of -0.28.
B-Sign is not considered
PSY_480_VA-Homework 12
Christina Paquette
#1:
The t distributions are used when the population standard deviation is not known or when we compare
two samples to each other.
#3:
The standard error for z test is calculated by dividing population standard de
SPSS 6 AssignmentOne Sample t Test
General Instructions: This assignment deals with using SPSS to perform a one sample t-test. As with previous
assignments, the Aspelmeier and Pierce text does a wonderful job of explaining how to actually run the tests in
PSY_480_VA-HW 17
Christina Paquette
#28:
The technique for countering order effects using a within-groups research design is counterbalancing. In
some tests, counterbalancing is not possible, for example in a before/after test. The avoid the order
effect,
SPSS 5 Assignmentz Scores
General Instructions: In this assignment, you will be asked to interpret measures of central tendency and variability to
describe the shape of distributions. As with previous assignments, the Aspelmeier and Pierce text does a won
PSY_480_VA-HW 19
Christina Paquette
#58:
a-The critical value for the F distribution with 2 and 6 degrees of freedom and 0.05 level of significance is
F0.05,2,6=5.14. Our F statistic, 8.90, is beyond our cutoff of 5,14, so we reject the null hypothesis. S
PSY_480_VA-HW13
Christina Paquette
#8:
As the sample size increases, the spread of the sampling distribution of the sampling mean decreases.
The shape of the sampling distribution of the sample mean is bell shaped.
#10:
For this, t(4)=2.87 shows that the
Chapter 11 Practice Questions
1. An ANOVA stands for:
a) analysis of variance.
b) analysis of operative variability.
c) analysis of covariance.
d) analysis of associated variance.
2. Below is the F statistic which indicates the ratio of two measures of va
Review for Exam 2
Chapters 5-8
Basic Concepts Covered:
Sampling and Selection
Types of Error
Creating Hypotheses
Making Decisions about
Hypotheses
Normal Curve Characteristics
Central Limit Theorem
Computing z Scores
Using z Scores to Test Hypotheses
PSY480_VA-Homework #11
Christina Paquette
#5:
Effect means a change that is caused by something which is done or happens as a result. In statistics,
effect size is the same as effect in general. Statisticians calculate effect size to find how much two
pop
PSY_480_VA-HW21-Christina Paquette
#21:
Step 1We need a between-groups degrees of freedom for the interaction, which is calculated by multiplying
the degrees of freedom for the two main effects:
(dfinteraction)=(dfrows)(dfcolumns)=(1)(3)=3
Therefore, the
PSY_480_VA-HW22-Christina Paquette
#4:
A within-group (repeated measures) ANOVA is a hypothesis test in which there are more than two
samples, and each sample is composed of the same participants. However, a between-groups ANOVA is
a hypothesis test in wh
Christina Paquette
PSY_480_VA
Chapter 1 - #2, 14, 24 & 34
#2:
The difference between a sample and a population is the sample is taken from an overall population,
which observers use to estimate the data. An example would be averaging out the amount of wom
PSY_480_VA-HW 18
Christina Paquette
#22:
In a within-group design, we reduce error due to differences between the groups. Because each group
includes exactly the same participants, we know that each group is the same in every manner.
#32:
a-Since between-
PSY_480_VA-HW16
Christina Paquette
#3:
Between-groups variance is an estimate of the population variance based on the differences among the
means, and within-groups variance is an estimate of the population variance based on the differences
within each of
PSY480_VA-Homework 9
Chapter 7
Christina Paquette
#5:
Assumptions are nothing but prerequisites, or conditions, for measuring something or testing a
hypothesis on.
#11:
Statistically significant means rejecting the null hypothesis, which is under consider
PSY_480_VA-HW20
Christina Paquette
#2:
Factor is a term used to describe an independent variable in a study with more than one independent
variable.
#5:
When we say two-way ANOVA, it means this is a hypothesis test that includes two nominal independent
va
Hand made wooden rocking horse, make of six 2x12s rough cut lumber ground
down into a horse then sanded and painted. There are countless hours put into
this rocking horse. Bernard put it together and ground it down, and Terry and
Charmayne sanded and pain