Chapter 1 Flashcards

1
Q

What are the four steps of Statistical Inquiry?

A
  1. Question - question to be answered for study
  2. Design - plan or experiment to generate desired data
  3. Description - summarizing patterns in raw data
  4. Inference - making conclusions applicable to population
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2
Q

What is important about the Design?

A

That it is objective and its variables are diversified

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3
Q

Subject (Individual)

A

Unit on which we make observations or measurements and collect data

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4
Q

Population

A

Set of all subjects of interest

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5
Q

Sample

A

Subset of population on which data is actually collected

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6
Q

Random Variable

A

A numerical measurement of the outcome of a random phenomenon

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7
Q

What is an example of a Random Variable relative to a presidential election?

A

1 - Republican Candidate, 0 - Democratic Candidate

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8
Q

Parameter

A

Numerical summary of population describing its characteristics, generally considered an unknown quantity

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9
Q

When can one calculate a Parameter?

A

Only when we have information from the whole population

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10
Q

What is an example of a Parameter?

A

Percent of all likely voters who voted for a Democratic Candidate after an election is held

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11
Q

Statistic

A

Numerical summary of a sample that describes the sample

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12
Q

How are Parameters of a Population estimated?

A

By using an analogous sample statistic

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13
Q

Parameter:Population

A

Statistic:Sample

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14
Q

What is the link between random variables and sample statistics?

A

Before a sample is collected a sample statistic is a random variable whose value is unknown, but once the sample is collected the value becomes known

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15
Q

Generalization of random variable and sample statistic relationship to general observations

A

An observation is a random variable before it is observed but after it is observed it loses its randomness and becomes a true observation

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16
Q

Statistics

A

Science of data; obtaining, analyzing, and interpreting it