Lesson 1 Flashcards

1
Q

What is data?

A
  1. Factual information organized for analysis or used to reason or make decisions
  2. Numerical or other information presented in a form suitable for processing by a computer
  3. Values derived from scientific experiments
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2
Q

Four Data Sources?

A
  1. Archival
  2. Experimental
  3. Survey
  4. Observational
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3
Q

What is statistics?

A

The mathematics of collection. organization, and interpretation of numerical data

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4
Q

What is Descriptive Statistics?

A

focuses on the presentation of set data to describe the characteristics of that set
ex: (size, weight, height, or gender of class)

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5
Q

What is Inferential Statistics?

A

allows for the analysis of population characteristics by inference from a sample of the population

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6
Q

Another name for Population

A

Parameter

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7
Q

Another name for Sample

A

Statistic

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8
Q

Sampling vs. Census

A

Sampling is less costly, less time consuming, and is more practical

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9
Q

Sampling must be

A

RANDOM

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10
Q

What is a variable?

A
  1. Something that can vary or take on different values
  2. A quantity capable of assuming any set of values
  3. A symbol representing a quantity
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11
Q

What are the two types of variables?

A
  1. Categorical Random

2. Numerical Random

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12
Q

What are the two types of Numerical Random Variables?

A
  1. Discrete- Counted

2. Continuous- Measured (ex: time)

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13
Q

Four scales of measurement?

A
  1. Nominal
  2. Ordinal
  3. Interval
  4. Ratio
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14
Q

Nominal Measurement examples:

A

Sex
Location by State
(Can’t do statistics on numbers)

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15
Q

Ordinal Measurement examples:

A
Quality Ratings (Poor, Average, Good, Excellent)
(You don't know if the difference between rankings are equal)
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16
Q

Interval Measurement Examples:

A

SAT Scores, Farenheit Temperature Scales

17
Q

Ratio Measurement Examples:

A

Price of Goods
Kelvin Temperature Scale
(Has an absolute 0)
(All ratio scales are intervals but not all intervals are ratio)