Introduction to statistics Flashcards

1
Q

[used with a plural verb] Facts or data, either numerical or
non numerical, organized and summarized so as to
provide useful and accessible information about a
particular subject.

A

Statistics

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2
Q

[used with a singular verb] the science of organizing and
summarizing numerical or non numerical information

A

Statistics

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3
Q

The collection of numerical information often leads to
large masses of data which, if they are to be understood,
or presented effectively, must be summarised and
analysed in some way.

A

Statistics

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4
Q

The art of learning from data. It is concerned with the
collection of data, their subsequent description, and their
analysis, which often leads to the drawing of conclusions.

A

Statistics

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5
Q

The collection of all individuals or items
under consideration in a statistical study.

A

Population

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6
Q

That part of the population from which
information is obtained

A

Sample

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7
Q

Two types of statistics

A

descriptive and inferential

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8
Q

Concerns the summarization of data. This entails
calculating numbers from the data, called
descriptive measures, such as percentages, sums,
averages, and so forth.

A

Descriptive Statistics

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9
Q

A conclusion drawn about the population
from which the data originated. In which data collected from a “sample”
population is used to infer properties of a larger
population. Consists of methods for drawing and measuring
the reliability of conclusions about a population

A

Inferential Statistics

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10
Q

Descriptive statistics and Inferential
statistics are

A

Interrelated

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11
Q

Aims to describe a chunk of raw data using
summary statistics, graphs, and tables

A

Descriptive statistics

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12
Q

It uses samples to draw
inferences about larger populations

A

Inferential statistics

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13
Q

The tools used in inferential statistics:

A

•hypothesis testing
•regression analysis

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14
Q

used to test whether a hypothesis about a
population is true or not

A

hypothesis testing

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15
Q

the purpose of the study is to examine and explore
information for its own intrinsic interest only

A

descriptive

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16
Q

the information is obtained from a sample of a
population and the purpose of the study is to use that
information to draw conclusions about the population

A

inferential

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17
Q

types of data

A

•quantitative data
•qualitative data

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18
Q

___ is any piece of collected
information

A

datum

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19
Q

is a collection of
data related to each other in some way

A

data set

20
Q

Are any data that measure or are associated with a measurement
of the quantity of something. They invariably assume numerical values

A

Quantitative data

21
Q

2 categories of quantitative data:

A

•discrete data
•continuous data

22
Q

It take values in a finite or countably infinite set of
numbers, that is, all possible values could (at least in principle)
be written down in an ordered list.

A

Discrete data

23
Q

It take values in an interval of numbers. These
are also known as scale data, interval data, or measurement
data

Examples: height, weight, length, time, etc.

A

Continuous data

24
Q

It take values in an interval of numbers. These
are also known as scale data, interval data, or measurement
data

Examples: height, weight, length, time, etc.
They are often characterized by fractions or decimals: 3.82,
7.0001

A

Continuous data

25
Q

Are any type of data that are not a
numerical, or do not represent numerical
quantities.
Examples:
subject’s name, gender, race/ethnicity,
political party, socioeconomic status, class
rank, driver’s license number, and social
security number.

A

Qualitative data

26
Q

2 types of factors of qualitative data

A

•nominal
•ordinal

27
Q

What do you call the possible values of a factor?

A

Levels

28
Q

Factors that have levels that correspond to
names of the categories with no implied
ordering. (hair, gender, race or political party)

A

Nominal

29
Q

Factors that have some sort of ordered
structure to the underlying factor levels.
(socioeconomic status; levels: income, education
and occupation, class rank, cancer stage)

A

Ordinal

30
Q

Factors that have some sort of ordered
structure to the underlying factor levels.
(socioeconomic status; levels: income, education
and occupation, class rank, cancer stage)

A

Ordinal

31
Q

It normally has columns which show the class intervals, class mid-points, class frequencies, and cumulative frequencies, the last of these being a running total of the frequencies themselves.

A

Grouped frequency distribution table

32
Q

What table is being constructed from the raw data without having first arranged the values in rank order?

A

Tallied frequencies

33
Q

___ shows, at a glance, how many items in the data are less than a specified value

A

cumulative frequency

34
Q

It is sometimes more useful to use the ratio of the cumulative frequency to the total number of observations. This ratio is called the ___

A

relative cumulative frequency

35
Q

It presents each distinct value along with
its frequency of occurrence.

A

frequency table

36
Q

A diagram which is directly related to a grouped frequency
distribution table and consists of a collection of rectangles
whose height represents the class frequency (to some suitable
scale) and whose breadth represents the class width.

A

Histogram

37
Q

A diagram which is directly related to a grouped frequency
distribution table and consists of a collection of rectangles
whose height represents the class frequency (to some suitable
scale) and whose breadth represents the class width.

A

Histogram

38
Q

Data from a frequency table can be graphically pictured
by a line graph, which plots the successive values on the
horizontal axis and indicates the corresponding frequency by the
height of a vertical line.

A

Line graph

39
Q

Sometimes the frequencies are represented not by lines
but rather by bars having some thickness. These graphs, called
bar graphs, are often utilized.

A

Bar graph

40
Q

Another type of graph used to represent a frequency
table is the frequency polygon, which plots the frequencies of
the different data values and then connects the plotted points
with straight lines.

A

Frequency polygon

41
Q

Another type of graph used to represent a frequency
table is the ___, which plots the frequencies of
the different data values and then connects the plotted points
with straight lines.

A

Frequency polygon

42
Q

A plot of the relative frequencies looks
exactly like a plot of the absolute frequencies,
except that the labels on the vertical axis are
the old labels divided by the total number of
observations in the data set.

A

Relative frequency graphs

43
Q

A plot of the relative frequencies looks
exactly like a plot of the absolute frequencies,
except that the labels on the vertical axis are
the old labels divided by the total number of
observations in the data set.

A

Relative Frequency Graphs

44
Q

It is often used to plot relative
frequencies when the data are nonnumeric.

A

Pie charts

45
Q

It is used to show the
relationship between two variables. It is the
most accurate way to display correlations, as
illustrated in the example below. However,
some analysts prefer to use bar charts, as
scatter plots can be difficult to interpret.

A

Scatter plot