Final Exam
Cheat Sheet Essentials
Formulas will look better in pdf version
1
General Notes
The formulas included here are only those used for the inferential statistical
tests weve learned this semester
I didnt include the formulas for calculating means
RUTGERS UNIVERSITY QUANTITATIVE METHODS 830:200
SPRING 2016 EXAM 1
(COMPUTATIONAL SECTION)
NAME_
SECTION_
Answer all of the following questions. FOR EVERY PROBLEM, state (assuming it is relevant) which statistical
test you should use, (e.g., chi-square, s
NAME_
SECTION #_
RUTGERS UNIVERSITY QUANTITATIVE METHODS 830:200
EXAM 2 COMPUTATIONAL PRACTICE TEST Dr. Kilianski
Answer all of the following questions. For every question, please state the type of inferential test used (e.g.,
paired samples t-test, 2 x 2
NAME_
SECTION #_
RUTGERS UNIVERSITY QUANTITATIVE METHODS 830:200
EXAM 2 COMPUTATIONAL PRACTICE TEST Dr. Kilianski
Answer all of the following questions. For every question, please state the type of inferential test used (e.g.,
paired samples t-test, 2 x 2
1.
A clinical psychologist who specializes in substance abuse hypothesizes that the trait of shyness
(i.e., social anxiety) is related to drug use; specifically that those higher in shyness will be more
likely to abuse drugs. Using a random sample of 16 a
ANOVAs
Chapter 12
Exams
Range: 26-96
Mean: 70.31
Median: 72
Mode: 60
Standard deviation: 15.52
First Exam: =72.10, = 15.53
First exam
Extra Credit
On your next quiz (Monday), I will be
taking three questions straight from
your exam and putting them on you
Two Factor ANOVA
(Independent Measures)
Chapter 14
June 23rd
Evaluations
June 24th July 1st
Two-Factor ANOVAs
So far we have been talking about how
1 variable affects a population.
What about two variables? Instead of
asking how does sleep affect
grades?
NAME:
Quiz 1
1. What is the difference between this equation for the z-score
and this equation for the z-score
z=
M
M
z=
X
? When would we use each
one?
The first equation is used when we are comparing 1 singular score
to the entire population, whereas t
Name:
Quiz 2
1. What is the difference between a one-independent sample t-test (when the
M
equation is t=
) and a two-independent-samples t-test (when the
sM
equation is
( M 1M 2 ) (1 2)
t=
)?
s(M M )
In a one-independent samples t-test, you are comparin
Variability and z-scores
Thursday, May 28th
Variability
Chapter 4
Variability
The goal for variability is to obtain a
measure of how spread out the
scores are in a distribution.
A measure of variability usually
accompanies a measure of central
tendency
Frequency Distributions
and Central Tendency
Wednesday, May 27th
Yesterday
Any questions from yesterday?
Chapter 2
Frequency Distributions
Frequency Distributions
After collecting data, the first task for
a researcher is to organize and
simplify the data
Independent Samples and
Repeated Sample t-tests
Chapters 10 and 11
Independent t-Test
The t Test For Two Independent
Samples
Chapter 10
Independent-Measures
Designs
Allows researchers to evaluate the mean
difference between two populations using data
fro
Post-Hoc Tests and Repeated Measures
ANOVA
Chapter 12 and Chapter 13
But First
As a review for yesterday, were going
to be doing a problem together, which
is another kind of problem you could
get on an exam or a quiz
.so pay attention!
Ch. 12, #17 in the
Quantitative Methods for
Psychology
Summer 2015
Ruthy Glass
rs1029@scarletmail.rutgers.edu
Syllabus
Please take out your syllabi
Any questions?
Lets jump right in!
What Are Statistics?
Statistics = Statistical procedures
Two purposes of statistics:
1) To
Quantitative Method
Practice Exam 1
Question 1 (3 marks)
At a hospital nursing station the following information is available about a patient.
o
Temperature:
30.2 C
Blood Type:
A
Response to treatment: Excellent
Indicate the level of measurement (nominal,
Quantitative Methods Assessment Number 1
Exam number:_
Answer ALL questions. Each is worth 10% except Question 9, which is worth 20%. Your completed paper
must be in the box by 1200 Friday 3 November.
1. Statistical tests commonly produce a probability st
Chapter 10
Relationships between
variables
Definition
A Scatter Plot is a picture of
bivariate numerical data in
which each observation ( ie
each pair of values (x,y) is
represented by a point located
on a rectangular co-ordinate
system. The Horizontal Ax
Chapter 7
What to do when you
have the data
We saw in the previous chapters
how to collect data. We will
spend the rest of this course
looking at how to analyse the
data that we have collected.
Stem and Leaf Diagrams
Stem and Leaf Diagrams are
graphical w
Chapter 2
CHAPTER 2:
To believe or not to believe
The importance of not always believing what
we read in the papers cannot be overstated.
This lesson applies not just to newspapers but
to academic research papers in journals also.
In fact it applies ev
Hypothesis Testing
Hypothesis testing allows us to use a sample to
decide between two statements made about a
Population characteristic.
Population Characteristics are things like The
mean of a population or the proportion of the
population who have a par
SAMPLING DISTRIBUTIONS
Parameter
Population characteristic
e.g. , , P, median,
percentiles etc.
Sample statistic
Any quantity computed
from values in a sample
e.g.
x , s, sample
proportion etc.
The value of a population characteristic is fixed.
The value
Least Squares
Introduction
We have mentioned that one should not always
conclude that because two variables are correlated
that one variable is causing the other to behave a
certain way. However, sometimes this is the case
for example in the example of Bu
Confidence Intervals
Confidence Intervals are an extension of the concept of
Margin of Error which we met earlier in this course.
Remember we saw:
The sample proportion will differ from the
population proportion by more than the margin of
error less than
GEMP40010 - Introduction to Quantitative Research Methods
Credits : 10
Module Co-ordinators : Dr Patrick Murphy & Caroline OKelly
Module Description :
This module is worth 10 credits and is aimed at first year PhD students in the Colleges of Human Science
Sample Computational Problems for Midterm 1 Review
1. Compute the mean and standard deviation for the following sample of data:
11, 14, 10, 7, 12, 3
x 57
x
2
M
619
1
57
x 6 9.5
n
SS x
s
2
x
2
n
619
572
77.5
6
SS
77.5
3.94
n 1
5
2. Mensa Internatio
Basic Statistical Concepts, Research
Design, & Notation
Basic Statistical Concepts
Variables, Scores, & Data
A variable is a characteristic or condition that can change or
take on different values.
Most research begins with a general question about the
Measures of Variability
Measures of Variability
Measures of Dispersion (Variability)
I previously introduced central tendency as a statistical
measure that describes the center of the distribution of scores
in a population or sample.
However, distributi
Quantitative Methods in Psychology:
Course Introduction
Course Introduction
Quantitative Methods in Psychology (830:200)
Instructor: Dr. Melchi M. Michel
Lectures:
T, Th 5:00-6:20pm in Hill Auditorium [01-04]
T, Th 6:40-8:00pm in Hill Auditorium [10-13]