Chapters 13, 14 & 15: t tests, One Sample, Two Independent Samples, Two Related Samples, and Significance Test for Pearson's r t Test for One Sample t = (X-bar hyp)/sX-bar
X-bar = sample mean hyp = population mean sX-bar = standard error of the mean
Differences between Z and T Test
1. Z-test is a statistical hypothesis test that follows a
normal distribution while T-test follows a Students Tdistribution.
2. A T-test is appropriate when you are handling small
samples (n < 30) while a Z-test is appropr
Coefficients of determination (r^2) The proportion of variability in one variable
that is explained by the other. Only explains linear relationships.
1.1- small
0.02-0.24= medium
0.25= large correlation
A correlation between IQ and GPA is found to be 0.60
Descriptive Statistics: Procedures that summarize and simplify data
Inferential Statistics: Procedures that allow us to make generalizations about
populations from which they were selected
Population: All individuals of interest to a study
Sample: A repre
1/27/16
Thursday, January 28, 2016
10:42 PM
1/27/16
Statistics in Psychological Research
2302 30534
Quiz Review
Multiple choice, true false, and short answer
Example: difference between negative/positive skew
Know three types of symmetrical curves
Leve
1/25/16
Thursday, January 28, 2016
10:25 PM
01/25/16
Statistics in Psychological Research
2302 30534
Variability
To best characterize data, it is important to look at the dispersion or spread in a distribut
Example: monthly temperatures for a year
Two
Lecture One
Sunday, January 24, 2016
3:52 PM
01/11/16
Statistics in Psychological Research
2302 30534
Distinction between data and statistics
Data: actual number or measurements collected through observations
Statistics: a value that summarizes or char
DISABILITY RESOURCE CENTER
360 Huntington Ave, 20 Dodge Hall, Boston, MA 02115
NO NOTES FORM
DATE:
1/28/2016
Course # :
2302
CRN :
30534
Reason for No Notes (please check all that applies):
Professor cancelled the class
Quiz for entire duration of the c
1/20/16
Sunday, January 24, 2016
4:17 PM
01/20/16
Statistics in Psychological Research
2302 30534
Graphing Frequency Distributions
Bar Graphs: most widely used for qualitative data
In X and Y chart, the proportion should be 3/4 (x axis=longer)
Discrete
Exam 3-Statistics
Single Sample T-Test- if I calculate the mean and compare it to hypothesized mean
for population
-However, you never really know what the mean of the population is
Independent Measures T-Test (Between Subjects) -We dont need to know the
Niesha Santiago
Psych 309
Prof Schlussman
Paper # 2
Evaluation of the David Reimer Case
Society is deeply infatuated with the idea of its a girl or its a boy rather than
focusing on the emotional, physical and psychological health of an infant. When infan
Chapters 8, 9 and 10: Populations, Samples and Probability, Sampling Distribution of the Mean, The z Test Populations, Samples and Probability Populations and Samples Real populations Random samples Hypothetical populations Random samples vs. Random
Steps to Follow (finding percentages, proportions)
1. Sketch the problem. 2. Plan the solution. 3. Compute the necessary z scores. 4. Find the necessary areas under the curve from the table and complete the problem.
Steps to Follow (finding z score
Chapter 2: Describing Data with Tables and Graphs
Describing data with tables
Frequency distributions for quantitative data Ungrouped data Capital Punishment Grouped data Shyness Relative Frequency Distributions Proportions and Percents Cumulative Fr
Analysis Decision Tree
Evaluate Experiment: Does it involve one sample or two?
One Sample
Two Samples: Test of relationship or test of differences?
Pop. S.D. Known
Pop. S.D. Unknown
Relationship
Differences
Z test
t test for one sample
t test
Chapters 23 and 27: One-Way ANOVA and Chi-Square
ANOVA
One-way ANOVA vs. multiple t tests and ballooning alpha Conceptual relationship between ANOVA and t test Sums of Squares (definitional formulas) Total sums of squares: SSTotal = (X XbarGrand)
2
Introduction
Descriptive vs. Inferential Statistics
Population vs. Sample Random Sampling vs. Random Assignment Data: Qualitative vs. Ranked vs. Quantitative Levels of Measurement: Nominal vs. Ordinal vs. Interval/Ratio
Variables
Discrete vs. Contin
Chapter 3: Describing Data with Averages: Central Tendency Mode Median Mean How to compute these measures Properties of these measures Advantages and Disadvantages
Type of Data: Are observations numbers? Yes: Quantitative No: Qualitative (p. 2)
One Sample
Two Samples
Three Samples: ANOVA
Pop. S.D. Unknown
Relationship t test for correlation
Differences
t test for one sample
Pop. S.D. Known
Related Grou
Chapter 5: Standard (z) Scores and Normal Distributions Background Two Generalizations Z-scores and Standard Normal Distributions You should be able to: 1) Find proportions or percentages given scores 2) Find scores given proportions or percentages T
Niesha Santiago
Psych 309
Prof Schlussman
Paper # 3
The question remains unanswered if stress is the reason the hippocampus shrink
or does a small hippocampus make people more susceptible to stress? The hippocampus
is a very important part of the brain. I
1/21/16
Sunday, January 24, 2016
4:30 PM
01/21/16
Statistics in Psychological Research
2302 30534
Central Tendency
1.
2.
3.
Notion of averages
3 ways to measure central tendency
Mean
Median
Mode
Mode (Mo)
Most frequently occurring value
Some distributi