Introduction to Statistics M1A:1 Flashcards

1
Q

What is the science concerned with the collection, organization, presentation and analysis of data?

A

Statistics

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2
Q

Facts and figures from which conclusions can be drawn

A

Data

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3
Q

The information that is collected for a particular study. Elements may be people, events, objects or other entries

A

Data set

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4
Q

What are variables?

A

Characteristics of an element

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5
Q

Describes a sample and serves as an estimate of the corresponding population parameter

A

Statistic

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6
Q

A descriptive measure of the entire population of all observations

A

Parameter

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7
Q

If a study is this kind of study, the possible measurements of the values of a variable are numbers that represent amounts

A

Quantitative

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8
Q

What is the difference between quantitative and qualitative variable quantity tallying

A

Qualitative variables you count

Quantitative variables you measure

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9
Q

Any value within a given range, can be fractions, decimals, and usually results from measurement

A

Continuous numbers

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10
Q

Restricted to certain values, usually whole numbers, generally result from counting

A

Discrete numbers

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11
Q

What are existing sources? Give examples.

A

Data already gathered by public or private sources.

Internet
Library
US Government
Data Collection Agency

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12
Q

What are experimental statistics and observational studies?

A

Data we collect ourselves for a specific purpose.

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13
Q

What are response variables and factors?

A

Response variable: the variable of interest

Factors: other variables related to the response variable.

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14
Q

What is the population?

What is a census?

What is a sample?

A
  1. A population is the set of all elements about which we draw a conclusion
  2. Census is an examination of the entire population of measurement. Must collect data from all individuals.
  3. Sample is a select subset of the units of the population.
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15
Q

What is a sampling error?

A

The difference between the unknown population parameter and the sample statistic used to describe the parameter

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16
Q

The tendency to favor the selection of certain sample elements over others is called..

A

Sample bias

17
Q

The science of describing the important aspects of a set of measurements

A

Descriptive statistics

18
Q

The science of using a sample of measurements to make generalizations about the important aspects of a population of measurements

A

Statistical inference

19
Q

A sequence of operations that takes inputs and turns them into outputs

A

Process

20
Q

Name the 4 scales of measurement

A

Nominal
Ordinal
Interval
Ratio

21
Q

Which scales of measurement are qualitative

A

Nominal and ordinal

22
Q

Which scales are quantitative

A

Interval and ratio

23
Q

What is a nominal scale? Give an example.

A

A qualitative variable for which there is no meaningful ranking of the categories.

Examples: Yes or No; Male or Female; marital status

24
Q

What is a qualitative measure for which there is a meaningful ranking? Give examples

A

Ordinal variable

Example are; rate how likely are you to recommend; education attainment: 1 for high school 2 for college, 3 for graduate school

25
Q

Name a quantitative variable where ratios are not meaningful and there is no defined zero

A

Interval scale

Temperature, Likert Scale ( 1-5)

26
Q

A quantitative variable measures on a scale such that ratios of its value are meaningful and there is a true zero value

A

Ratio measurement

Money, weight and height,