Chapter 1 Flashcards

1
Q

Population

A

The overarching set of all individuals which we want to study.

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2
Q

Sample

A

A subset of a population on which we gather data that can be used to make inferences about a population.

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3
Q

Census

A

Gathering data on each individual within a population

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4
Q

Parameter

A

A numerical value summarizing the population data (mean, median, mode, range, maximum, etc.) The value of the parameter is usually unknown.

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5
Q

Statistic

A

A numerical value summarizing the sample data (sample mean, median, mode, range, etc.)

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6
Q

Data

A

Information, numerical or qualitative gathered through experiments and surveys.

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7
Q

Subject

A

An individual within a sample.

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8
Q

Variables

A

The features that we measure about the subjects.

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9
Q

Quantitative variables

A

numerical data that gives us some quantity.

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10
Q

Categorical variables

A

Variables that sort and organize the data into different categories or classifications.

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11
Q

The Statistical Method (Three Steps)

A

1) Design
2) Description
3) Inference

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12
Q

Design

A

Refers to how the data is obtained. Valid inferences cannot be made without a good design.

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13
Q

Description

A

The summarizing of data obtained. (Providng the mean or percentage, creating a bar graph or pie chart, etc.)

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14
Q

Inference.

A

Making decisions or predictions based on the data.

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15
Q

μ

A

Mu. Population mean (parameter)

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16
Q

́x

A

X-bar Sample mean (statistic)

17
Q

P

A

P. Population proportion (parameter)

18
Q

p

A

p-hat. Sample proportion

19
Q

Proportion

A

Another way to express a percentage. Must be between 0 and 1.

20
Q

Satistics

A

The art and science of designing studies and analyzing data that those studies produce.

21
Q

What is the ultimate goal of statistics?

A

Translating the data into knowledge and understanding of the world around us.

22
Q

Four steps of satisitcs

A

1) Formulate a statistical question. 2) Collect data. 3) Analyze data. 4) Interpret results.

23
Q

Probability

A

A framework for quantifying how likely various outcomes are.

24
Q

Random sampling

A

Selecting subjects randomly to create a good reflection of the population at large. Very likely to fall withing 5 percentage points of the actual population.