Midterm Study Guide

Midterm Study Guide - Psychology
60,
Spring
2010


Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: Psychology
60,
Spring
2010
 Midterm
1
Study
Guide
 
 
 This
study
guide
is
not
intended
to
provide
you
with
a
comprehensive
list
of
the
topics
you
need
to
 know;
rather,
this
guide
is
meant
to
guide
you
in
your
studying.
Do
not
assume
that
you
can
study
 only
these
topics
and/or
read
only
these
sections
in
the
book.
This
guide
will
not
replace
a
thorough
 reading
of
the
book
and
review
of
your
lecture
notes.

The
following
is
simply
a
list
of
topics
and
 formulas
with
which
you
should
be
most
familiar.
 
 • 
The
difference
between
inferential
and
descriptive
statistics
 • 
The
differences
between
populations
and
samples
 • 
The
differences
between
statistics
and
parameters
 • 
Sampling
Error
 • 
Summation
Notation
 • 
Scales
of
measurement,
specifically
the
differences
between
the
different
scales
 • 
Characteristics
of
experimental
research
 o Manipulation
 o Control
 o Random
Assignment
 • 
Differences
between
experimental
studies
and
correlational
studies
 • 
Constructs
and
Operational
Definitions
 • 
Interpreting
frequency
graphs/histograms
 • 
Types
of
data
appropriate
for
line
graphs,
bar
graphs
and
scatter
plots
 • 
Describing
the
shape
of
distributions
using
symmetry
and
skew
 • 
Differences
between
the
different
measures
of
central
tendency
 • 
Computation
of
the
standard
deviation
for
both
populations
and
samples
 o Know
how
to
use
the
formulas
 o Know
when
to
use
each
of
the
formulas
 • 
Z‐scores
 o Computation
of
a
z‐score
for
an
individual
score
in
a
population
 o Understand
the
meaning
of
a
z‐score
 o Be
able
to
tell
which
of
two
z‐scores
is
more
extreme
 o Understand
what
extreme
means
in
the
statistical
sense
 o Converting
from
raw
scores
to
z‐score
 o Converting
from
z‐scores
to
raw
scores
 o Be
able
to
find
the
proportion
of
a
normal
distribution
between
two
z‐scores
 o Be
able
to
find
the
proportion
of
a
normal
distribution
beyond
a
z‐score
 o Be
able
to
find
the
z‐score
corresponding
to
where
a
certain
proportion
of
a
 distribution
is
beyond
that
score
 • 
Know
the
basic
definition
of
probability
 
 Some
Important
Formulas
 
 !Xi µ= N Mean
 !Xi X= n 








 
 
 
 
 Sum
of
squares
for
sample
 
 !( X i " X ) 2 
 
 
 
 Sum
of
squares
for
sample
 Computational
Form
 
 
 Standard
deviation
for
population
 From
SS
 
 ( !X i ) 2 !X i " n SS N
 != 
 
 Standard
deviation
for
sample
 From
SS
 
 
 
 
 Z­score
to
raw
score
 
 Xi ! µ zi = "
 SS n !1 
 s= 
 Raw
score
to
z­score
 
 
 Sum
of
squares
for
population,

 Definition
form
 
 !( X i " µ) X i = µ + zi! 
 2 
 
 
 Sum
of
squares
for
population
 Computational
Form
 
 ( !X i ) 2 !X i " N 
 
 2 
 2 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 ...
View Full Document

This note was uploaded on 10/16/2011 for the course PSYCH 60 taught by Professor Parris during the Spring '11 term at UCSD.

Ask a homework question - tutors are online