Psych 100 A
Learning Goals for Exam 1
LEARNING GOALS FOR EXAM 1: Describing Data, Statistical Inference,
Ztests and OneSample Ttests.
I.
DESCRIBING DATA
IA.
INTRODUCTION AND BASIC CONCEPTS
.
(Reading:
Kiess Chapters 1 & 2)
Learning statistics is like learning a language.
You must become fluent in the basic vocabulary.
You should understand:
⇒
That measurement assigns numbers to variables.
You should be able to:
⇒
Define and understand the differences between:
sample
vs
population
independent variable
vs
dependent variable
⇒
Recognize and give examples of the four levels of measurement:
nominal (qualitative)
ordinal
interval
ratio.
⇒
Recognize and give examples of the two types of variables:
discrete
continuous.
IB.
DISTRIBUTIONS OF SCORES
.
(Kiess Ch 3)
A major goal of this section is to learn that
the first step
in data analysis is to examine the
frequency distributions—the distributions of scores for each variable.
You should understand:
⇒
The relationship of empirical distributions of data to theoretical distributions of data
(statistical models).
⇒
The relationship of an individual score to a distribution of scores.
1
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Learning Goals for Exam 1
⇒
The differences between:
a simple frequency distribution,
a relative frequency distribution, and
a cumulative relative frequency distribution,
And be able to recognize situations when one is preferable to the others.
⇒
That changing the class intervals of a histogram can reveal different characteristics of the
distribution.
⇒
The difference between the stated limits and real limits given a class interval
You should be able to:
⇒
Use the distribution of scores to help understand the processes that generate the data.
⇒
Detect, given a distribution of scores, errors, outliers and score spreads.
⇒
Construct, by hand, the rank order of the scores, data tables, ungrouped frequency
distributions, grouped frequency distributions, histograms, from a set of scores
⇒
Make inferences about the shape of the distribution from a boxplot.
⇒
Characterize a distribution by its shape, middle and spread.
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 Spring '10
 Chen
 Statistics, Normal Distribution, 80%, σ. IIC

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