Study Guides (256,443)
CA (124,652)
UTSG (8,518)
PSY (734)
PSY201H1 (27)

Textbook notes - applicable to spring term as well

5 Pages
129 Views

Department
Psychology
Course Code
PSY201H1
Professor
Gillian Rowe

This preview shows pages 1-2. Sign up to view the full 5 pages of the document.
CHAPTER ONE
INTRO TO STATISTICS
1.1
Statistics: set of standardized mathematical procedures used to organize, summarize
& interpret info.
1.2
population: set of all individuals of interest in a particular study
sample: set of individuals WITHIN a population, usually selected to represent the
population in a research study.
** can also refer to scores that correspond to individuals rather than the indiv.
themselves**
Once a study is done on a sample, the goal is to generalize the results back to the
poplulation.
variable: characteristic or condition, values for different individuals or over time.
Data: measurements or observations datum = 1 data set = collection of
Score / raw score: common words for datum
Parameter : a characteristic that describes the population
usually numerical value
usually derived from measurements of individuals within population
o
ex: avg. reading score for *all 4th-graders in Texas*
**= population
\ \ \ ~~~~POPULATION PARAMETER~~~~/ / /
Statistic: a characteristic that describes a sample
usually numerical value
usually derived from measurements of individuals within sample
\ \ \ ~~~~~SAMPLE STATISTIC~~~~~/ / /
DESCRIPTIVE STATISTICS: used to summarize, organize&simplify data (raw
scores)
www.notesolution.com
INFERENTIAL STATISTICS: sample data is used to make general
statements/reach generalized conclusions about the population from which it is
selected.
Sampling error: discrepancy between sample statistic & corresponding population
parameter.
Ex: sample proportion error.
STEP-BY-STEP EXAMPLE OF STATISTICS IN IN RESEARCH
Population: first-grade children
Sample A: first-graders taught by method A
Sample B: first-graders taught by method B
1.a.Experiment: compare 2 teaching methods
b.Data: Collect test scores for students in each sample
2.Descriptive Statistics: organize & simplify
a. find average scores for each sample
b.graph
3.Inferential Statistics: interpret results
a.Compare averages: calculate difference
b.Decide whether the difference in data is due to sampling error or a
difference in the 2 methods of teaching.
1.3 DATA STRUCTURES, RESEARCH METHODS
to establish existence of relationships, measurement of two variables is necessary.
There are two data structures
I. CORRELATIONAL METHOD: measuring 2 variables for each individual, to
determine whether there is a relationship between them. Variables are not
manipulated, one group of individuals is studied
II. EXPERIMENTAL & NONEXPERIMENTAL: comparing multiple groups of
scores. 1 variable is used to define a group, and the second is measured.
Ex: 1 group is shown violent movies, the other is shown romantic comedies,
then both groups are tested for aggressive behavior.
Variable 1 = type of movie
Variable 2 = aggression
EXPERIMENTAL METHOD: demonstrate causal relationship between two
variables
www.notesolution.com

Loved by over 2.2 million students

Over 90% improved by at least one letter grade.

Leah — University of Toronto

OneClass has been such a huge help in my studies at UofT especially since I am a transfer student. OneClass is the study buddy I never had before and definitely gives me the extra push to get from a B to an A!

Leah — University of Toronto
Saarim — University of Michigan

Balancing social life With academics can be difficult, that is why I'm so glad that OneClass is out there where I can find the top notes for all of my classes. Now I can be the all-star student I want to be.

Saarim — University of Michigan
Jenna — University of Wisconsin

As a college student living on a college budget, I love how easy it is to earn gift cards just by submitting my notes.

Jenna — University of Wisconsin
Anne — University of California

OneClass has allowed me to catch up with my most difficult course! #lifesaver

Anne — University of California
Description
CHAPTER ONE INTRO TO STATISTICS 1.1 Statistics: set of standardized mathematical procedures used to organize, summarize & interpret info. 1.2 population: set of all individuals of interest in a particular study sample: set of individuals WITHIN a population, usually selected to represent the population in a research study. ** can also refer to scores that correspond to individuals rather than the indiv. themselves** Once a study is done on a sample, the goal is to generalize the results back to the poplulation. variable: characteristic or condition, values for different individuals or over time. Data: measurements or observations datum = 1 data set = collection of Score raw score: common words for datum Parameter : a characteristic that describes the population usually numerical value usually derived from measurements of individuals within population th o ex: avg. reading score for *all 4 -graders in Texas* **= population ~~~~POPULATION PARAMETER~~~~ Statistic: a characteristic that describes a sample usually numerical value usually derived from measurements of individuals within sample ~~~~~SAMPLE STATISTIC~~~~~ DESCRIPTIVE STATISTICS: used to summarize, organize&simplify data (raw scores) www.notesolution.com
More Less
Unlock Document


Only pages 1-2 are available for preview. Some parts have been intentionally blurred.

Unlock Document
You're Reading a Preview

Unlock to view full version

Unlock Document

Log In


OR

Don't have an account?

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Sign up

Join to view


OR

By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.


Submit