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•
P
opulation 
The collection of
all
outcomes,
responses, measurements, or counts that are of
interest.
•
S
ample

A subset of the population
Ex
A survey of 1000 US adults found that 92% are worried about
dependence on foreign oil.
Population: collection of all US
adults.
Sample: collection of the 1000 US adults sampled.
Ex
A study of 146 credit cards found that the average late fee is
$27.46.
Population:
collection of all credit cards.
Sample:
collection of 146 credit cards that were sampled.
•
P
arameter
 A number that describes a
p
opulation
characteristic.
•
S
tatistic 
A number that describes a
s
ample
characteristic.
Ex
In a recent study of math majors at a university, 10 students
were minoring in physics.
It’s a parameter because 10 students
are describing a characteristic of a population.
Ex
the average late fee of $27.46 charged by the credit cards is a
rep of descriptive stats.
An inference drawn from the sample is
that all credit cards charge a late fee of $27.46
•
Qualitative Data
 Consists of attributes, labels, or
nonnumeric entries
•
Quantitative data
 Numerical measurements or
counts.
Ex
The monthly salaries of the employees at an accounting firm.
Quantitative.
Ex
The ages of a sample of 350 employees of a software
company.
Quantitative.
Ex SS#’s is
Qualitative.
Ex
The zip codes of a sample of 350 customers as a sporting
goods store.
Qualitative.
•
Nominal
 (a) Qualitative data only (b) Categorized
using names, labels, or qualities (c) No mathematical
computations can be made.
•
Ordinal 
(a) Qualitative or quantitative data (b)
Data can be arranged in order (c) Differences
between data entries is not meaningful.
•
Interval 
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 Fall '10
 Raney

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