Statistics Flashcards

1
Q

The practice or science of collecting and
analyzing numerical data in large quantities,
especially for the purpose of inferring
proportions in a whole from those in a
representative sample.

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.
  • 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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4
Q

“The theory of statistics uses ____________ to measure the uncertainty associated with an inference. It enables us to calculate the ____________ of observing specific samples, under specific assumptions about the population. The statistician uses
these __________ to evaluate the uncertainties associated with
sample inferences.”

A

probability/probabilites

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5
Q

information or facts necessary to conduct a certain study.

A

Data

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6
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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7
Q

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

A

Secondary Data

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8
Q

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

A

Variable

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9
Q

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

A

Random Variable

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10
Q

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 ___________.

A

Experimental Unit

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11
Q

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

A

Univariate data

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12
Q

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

A

Bivariate data

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13
Q

results when more than two variables are measured.

A

Multivariate data

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14
Q

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

A

Population

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15
Q

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

A

Sample

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16
Q

descriptive value for a population

17
Q

measures a quality or characteristic on each experiment unit.

A

Qualitative Data

18
Q

measures a numerical quantity or amount on each experiment unit.

A

Quantitative data

19
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

20
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

21
Q

Under qualitative data

A

Nominal scale and ordinal scale

22
Q

Uder quantitative data

A

Interval scale and ratio scale

23
Q

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

24
Q

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

25
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.
Interval
26
is the interval level modified to include the inherent zero starting point. For values at this level, differences and ratios are meaningful.
Ratio
27
is a well defined collection of distinct things or objects.
Set
28
- of a set can be specified by simply listing the elements inside a pair of braces - the things that belong to or contained in a set
Elements
29
is any process that yields a measurement.
Experiment
30
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.
Sample Space
31
-is a subset of a sample space. Event is any particular outcome or group of outcomes from an experiment.
Event
32
is a subset that contains only one outcome (element) that cannot be broke down (decomposed), into a simpler, more basic outcome.
Simple Event
33
is defined as a subset of the sample space that contains more that one simple event. Denoted by Capital letters.
COMPOUND EVENT ( or composite event)
34
the entire set can be considered to be a subset, as can a set that contains no elements at all.
EMPTY SET or NULL SET (  )
35
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
Union
36
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  B.
Intersection
37
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 ´.
Complement
38