Statistics 2014
Among the skills that you will be learning in this course are techniques for graphing data.
Below is a
type of graph that we will be looking at later in the course.
You might find that this graph provides
you with some useful information.
(Note that in this course, we will consider only straightline trends,
not curvilinear trends.)
Relationship Between Class Attendance and Course Grade
for a General Biology Course
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View Full DocumentChapter 1 – Data Collection
Definition
: Statistics
is the science of conducting studies to collect, organize, summarize and analyze
data and to draw conclusions from the data.
Definition
: A population
is the collection of all objects, animals, or persons that are of interest.
Example
:
A population of interest might be all students at UNF.
An individual member of the
population would be a student.
Example
:
A population of interest might be all family units in the United States.
An individual
member of the population would be a family.
Definition
: A variable
is a characteristic under study that assumes different values for different
elements of the population.
Example
:
For the population of all students at UNF, a variable might be the GPA of a student.
Example
:
For the population of all registered voters in the U.S., a variable might be the candidate
supported by a voter for the office of President.
Definition
: Data
are the measured values of (a) variable(s).
Definition
: Variables whose values are determined by chance are called random variables
.
Example
:
If I randomly choose someone from the population of all registered voters in the U.S., that
person’s preference for President would be a random variable; it’s value would depend on which voter
was randomly chosen.
Definition
: A collection of data values is called a data
set
.
Definition
:
An experiment
is a planned activity whose result yields a set of data.
Branches of Statistics
Definition
: Descriptive statistics
is the branch of statistics concerned with collection, organization,
summation, and presentation of data.
Definition
: A parameter
is a numerical characteristic of a population.
Example
:
For the population of all students at UNF, one parameter would be the average GPA.
Example
:
For the population of all registered voters in the U.S., one parameter would be the level of
support for a particular Presidential candidate.
Definition
: A sample
is a subset of a population.
Definition
: A statistic
is a numerical characteristic of a sample.
Example
:
If I select a random sample of 100 UNF students, a statistic would be the average GPA for
the members of the sample.
Example
:
If I select a random sample of 1000 people from the population of all registered voters in the
U.S., a statistic would be the fraction of the sample who support a particular Presidential candidate.
Definition
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 Fall '10
 Staff
 Statistics, representative

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