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

A

Parameter

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.

A

Nominal

24
Q

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

A

Ordinal

25
Q

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

26
Q

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

A

Ratio

27
Q

is a well defined collection of distinct things or objects.

A

Set

28
Q
  • 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
A

Elements

29
Q

is any process that yields a measurement.

A

Experiment

30
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

31
Q

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

A

Event

32
Q

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

A

Simple Event

33
Q

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

A

COMPOUND EVENT ( or composite event)

34
Q

the 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 (  )

35
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

36
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  B.

A

Intersection

37
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

38
Q
A