Chapter 1 Flashcards

1
Q

Define Statistics

A

The scientific discipline that provides methods to help us make sense of data.

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2
Q

What are the three reasons to study statistics?

A
  • To be informed
  • To understand issues and be able to make sound decisions based on data
  • To be able to evaluate decisions that affect your life.
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3
Q

Why do we need to understand variability?

A

To be able to collect, analyze, and draw conclusions from data in a sensible way.

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4
Q

Define descriptive statistics.

A

The branch of statistics that includes of methods for organizing and summarizing data.

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5
Q

Define population.

A

The entire collection of individuals or objects that information is desired about.

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6
Q

Define sample.

A

A subset of the population. A small number of the population selected to study.

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7
Q

Define inferential statistics.

A

The branch of statistics that involves generalizing from a sample to the population.

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8
Q

What is the data analysis process?

A
  • Understanding the nature of the problem
  • Deciding what to measure and how to measure it
  • Data collection
  • Data summarization and preliminary analysis
  • Formal data analysis
  • Interpretation of results
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9
Q

Define variable.

A

Any characteristic whose value may change from one individual or object to another.

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10
Q

Define data.

A

Results from making observations.

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11
Q

Define univariate data.

A

Observations made on a single variable.

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12
Q

Define categorical.

A

The individual observations are categorical responses.
Ex.
Type of calculator used

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13
Q

Define numerical.

A

When each observation is a number.
Ex.
Cost of textbooks

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14
Q

Define discrete data.

A

The possible values of the variable correspond to isolated points on the number line.
Ex.
Number of dogs owned

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15
Q

Define continuous data.

A

The set of possible values forms an entire interval on the number line.
Ex.
A child’s height

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16
Q

Define frequency distribution.

A

A table that displays the possible categories along with the associated frequencies and/or relative frequencies.

17
Q

Define frequency.

A

The number of times the category appears in the data set.

18
Q

Define relative frequency.

A

The fraction or proportion of the observations resulting in the category.

19
Q

How is relative frequency calculated?

A

Relative frequency = frequency
__________________________
Total # of observations in the data set