Introduction to Statistics Flashcards

(26 cards)

1
Q

the science of collecting, organizing, analyzing, and interpreting data in order to make decisions

A

Statistics

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2
Q

consists of information coming from observations, counts, measurements, or responses.

A

Data

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3
Q

the collection of all outcomes, responses, measurement, or counts that are of interest.

A

population

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4
Q

is a subset of a population.

A

A sample

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5
Q

is a numerical description of a population characteristic

A

parameter

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6
Q

a numerical description of a sample characteristic

A

statistic

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7
Q

The study of statistics has two major branches:

A

descriptive statistics and inferential statistics.

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8
Q

Involves the organization, summarization, and display of data.

A

Descriptive statistics

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9
Q

Involves using a sample to draw conclusions about a population.

A

Inferential statistics

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10
Q

information in newspapers presented in tables, charts, graphs and other relevant computations such as percentages.

A

Descriptive Statistics

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11
Q

it leads to prediction, inferences, interpretation or conclusion about the entire population.

A

Inferential Statistics

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12
Q

is a characteristic that changes or varies over a period of time and/or for different individuals or objects under consideration

A

VARIABLE

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13
Q

When a variable is actually measured on individuals or objects of interest to the investigator, a__ is obtained.

A

set of measurements or data

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14
Q

result when a single variable is measured on a single individual or object

A

Univariate Data

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15
Q

result when more than two variables are measured on a single individual or object

A

Multivariate Data

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16
Q

Data sets can consist of two types of data:

A

qualitative data and quantitative data.

17
Q

Consists of attributes, labels, or nonnumerical entries

A

Qualitative Data

18
Q

Consists of numerical measurements or counts.

A

Quantitative Data

19
Q

Quantitative Variables can further be classified as

A

discrete or continuous

20
Q

is one for which, within the limits the variable ranges, any value is possible.
Example: weight, time to complete a task, height, salary, amount

A

CONTINUOUS VARIABLE

21
Q
  • is one that cannot take on all values within the limits of the variable.
  • can be attained by counting.

Examples: response to a five-point rating scale (1, 2, 3, 4 and 5), number of provinces in region 12, number of children

A

DISCRETE VARIABLE

22
Q

The four levels of measurement are

A

Nominal
Ordinal
Interval
Ratio

23
Q

Calculated using names, labels, or qualities. No mathematical computations can be made at this level.

24
Q

Arranged in order, but differences between data entries are not meaningful.

25
Arranged in order, the differences between data entries can be calculated.
Interval
26
A ratio of two data values can be formed so one data value can be expressed as
Ratio