Chapter 1 Flashcards

(25 cards)

1
Q

What is a variable?

A

The thing(s) that are being counted/collected from a population or sample

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2
Q

What is a population?

A

The entire possible set of individuals from which data can be collected

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3
Q

What is a Sample?

A

A smaller portion of a population selected to collect data from

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4
Q

What is a population parameter? ***

A

Characteristic of a population
(EXAMPLE: Whether or not a video on youtube is a cat video)

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5
Q

What is a sample statistic? ***

A

Characteristic of a sample (usually calculated)
(EXAMPLE: Calculated average weight within a population)

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6
Q

What are the types of data?
(think 2 Q’s)

A

Quantitative: Data that can be counted and measured (numerical)
Qualitative: Data that cannot be counted, added, ect (think QUALITIES)

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7
Q

What are units of observation?

A

The individuals from which data is collected

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8
Q

What is statistical inference?

A

Conclusions that can be made using the data from a sample in regards to the whole population

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9
Q

What are the two main categories of sampling?

A

Probability and NON-probability

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10
Q

What is sampling?

A

Choosing a specific part of a population to collect data from while avoiding BIAS

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11
Q

What are the characteristics of nominal data?

A

Classifiable
No obvious ordering or ranking
No arithmetic
(EX: Race, gender)

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12
Q

What are the characteristics of ordinal data?

A

Categorizable, rankable
Ordered by significance
No arithmetic
(EX: subjective results, opinion polling, low, med, high)

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13
Q

What are the characteristics of interval data?

A

Can be categorized, ranked, spaced
Measured on a scale
Numerical values
Can Add / Subtract
No multiplication / division
No natural ZERO (0 is just a number on a scale - it doesn’t necessarily mean zero)
(EX: 20 F is twice as hot as 10 F, can be ranked but cannot be necessarily verified if it “feels” that way)

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14
Q

What are the characteristics of ratio data?

A

Can be categorized, ranked, spaced, evenly spaced
Has a natural ZERO (ZERO is a possible measurement - it MEANS something)
All arithmetic allowed
(EX: 0 K is absolute zero, a 20 yr old is older than a 19 yr old, HEIGHT)

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15
Q

What are some ways to visualize data? (5)

A

Bar graphs
Scatter plots
Histograms
Pareto charts
Box-and-whisker plot

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16
Q

What is a pareto chart?

A

A chart that combines both lines and bars
Bars record values
Lines record totals

17
Q

What are the properties of a box-and-whisker plot?

A
  • Contains 5 (or more) numbers: Quartiles, Minimum, Maximum, Outliers
18
Q

Simple Random Sampling

A

All elements have equal chances of being selected

19
Q

Stratified Sampling

A

Groups are made, random selections from ALL groups

20
Q

Cluster Sampling

A

Groups are made, all members of RANDOM GROUPS are selected

21
Q

Multistage Sampling

A

Groups are made, random members selected from random groups

22
Q

Systematic Sampling

A

Selecting elements in a manner that follows a pattern/system (Every 3rd)

23
Q

Convenience Sampling

A

Elements chosen based on ease of access

24
Q

Which data types are QUALITATIVE?

A

Ordinal and Nominal

25
Which data types are QUANTITATIVE?
Ratio and Interval