finals Flashcards

1
Q

______ is a collection of methods
for planning experiments, obtaining
data, and then organizing,
summarizing, analyzing, interpreting,
and drawing conclusions based on the
data.

A

Statistics

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2
Q

______are
methods for
organizing and
summarizing
data.

A

Descriptive Statistics

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3
Q

______consists of
procedures used to make inferences about
population characteristics from information
contained in a sample drawn from this
population

A

Inferential Statistics

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4
Q

covers a large variety of
techniques that allow us to make actual claims
about a population based on sample of data

A

Inferential Statistics

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5
Q

Includes
-Collecting
-Organizing
-Summarizing
-Presenting data

A

Descriptive Statistics

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6
Q

-Making inferences
-Hypothesis testing
-Determining relationships
- Making predictions

A

Inferential Statistics

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7
Q

information or facts necessary to conduct a certain study.

A

data

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8
Q

Data that has been
collected by
researcher
themselves for the
specific purposes of
answering a
research question

A

Primary Data

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9
Q

Data that has been
collected by another
researcher or
organization for
other purposes

A

Secondary Data

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10
Q

A _______ is a characteristic that changes or varies
over time and/or for different individuals or object
under consideration.

A

Variable

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11
Q

A _______ is a variable whose numerical is
determined by the outcome of some chance
experiment.

A

Random Variable

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12
Q

An ______ is the individual or
object on which a variable is measured. A
single measurement or data value results
when a variable is actually measured on an
experimental unit.

A

Experimental unit

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13
Q

_______ result when a single variable is
measured on a single experimental unit.

A

Univariate data

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14
Q

_______ result when two variables are
measured on a single experiment unit.

A

Bivariate data

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15
Q

_______ results when more than two
variables are measured.

A

Multivariate data

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16
Q

The ________ in a statistical study
is the group of
objects drawn about
which conclusions
are to be drawn.

A

Population

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17
Q

is a subset of measurements selected from the population of interest.

A

A sample

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18
Q

A descriptive value for a population is called a
________ and a descriptive value for a sample is
called a ________.

A

parameter, statistic.

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19
Q

measures a
quality or
characteristic on
each experiment
unit

A

Qualitative Data

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19
Q

measures a
numerical quantity or
amount on each
experiment unit.

A

Quantitative Data

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20
Q

results from either a finite of possible values or countable number of possible values (That is, the number of possible values is 0, 1 or 2, and so on)

A

Discrete data

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21
Q

results from many possible values that can be associated with points on a continuous scale in such a way that there are no gaps or interruptions

A

Continuous data

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21
Q

The _______ of measurement is the
interval level modified to include
the inherent zero starting point.
For values at this level, differences
and ratios are meaningful.

A

ratio level

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21
Q

The ________ of measurement is
characterized by the data that consist of
names, labels or categories only, and the
data cannot be arranged in an ordering
scheme

A

nominal level

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22
Q

is a well defined collection of distinct things or
objects.

A

Set

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22
Q

of a set can be specified by simply listing the
elements inside a pair of braces

A

Elements

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22
Q

The ________ of measurement involves
data that may be arranged in some order,
but differences between data values either
cannot be determined or are meaningless

A

ordinal level

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22
Q

The ______ measurement is like the
ordinal level, with the a additional that
meaningful amounts of differences
between data can be determined.
However, there is no inherent zero stating
point

A

Interval level

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23
Q

is any process that yields a
measuremen

A

Experiment

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24
Q

a set of all possible outcomes of
a statistical experiment and represented by a
symbol S. It can be also be called as a collection
of simple events.

A

Sample Space

25
Q

-is a subset of a sample space. Event is any
particular outcome or group of outcomes from an
experiment

A

Event

26
Q

(or elementary event) - is a subset
that contains only one outcome (element) that
cannot be broke down (decomposed), into a
simpler, more basic outcome

A

Simple Event

27
Q

( or composite event) – is defined
as a subset of the sample space that contains more
that one simple event. Denoted by Capital letters.

A

Compound Event

28
Q

he entire set can be
considered to be a subset, as can a set that
contains no elements at all.

A

Empty Set, or null set

29
Q

__________ of two events is the event that consists of all outcomes
that are contained in either of two events. We denote union
as A υ B

A

Union

30
Q

_________of two events is the event that consists of all
outcomes that are contained in both of the two events. We denote the intersection as
A n B

A

Intersection

31
Q

________ of an event in a sample space is the set of outcomes in the
sample space that are not in the event. This subset is given by the
symbol A’

A

Complement

32
Q

An arrangement of all or part of a set of objects

A

Permutations

33
Q

_________ is a measure of the
likelihood of some event. It is
stated as a number from 0 to
1, where the probability of
(0) means that the event
cannot possibly occur and a
probability of (1) means that
the event is certain to occur.

A

Probability

34
Q

The ______ of random variable (also called a chance
variable) is the sample space that summarizes the
outcomes of a randomly determined statistical experiment

A

domain

35
Q

The _______ for a random variable assigns one
and only one real number to each point in the sample
space.

A

rule of association

36
Q

The _____ of a random variable is the sample space of
numbers defined by the rule of association.

A

range

37
Q

A ________ can assume a
countable number of values

A

discrete random variable

38
Q

A _______ can assume any
value along a given interval of a number line.

A

continuous random variable

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