Lecture 1.1-1.3 Vocabulary

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22 Terms

1
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What is data?

any observations that is collected

2
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What is statistics?

Collecting, analysing, summarizing, interpreting, and drawing conclusions

3
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What is a population?

Complete set of all elements that needs to be studied

4
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What is a sample?

A subset of the population

5
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What is a parameter?

a characteristic of a population

6
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What is a statistic?

a characteristic of a sample

7
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What is the abbreviation of a statistic?

S-S

8
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What is an abbreviation of a parameter?

P-P

9
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What is qualitative?

categorical; non-numeric data, utilizing mathematics would be useless

10
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What is quantitative?

Categorical; numerical data, utilizing mathematics would be meaningful

11
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What is discrete data?

Countable, finite

12
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What is continuous data?

Infinite number of possible values

13
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What is an example of discrete data?

number of sides on a cube

14
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What is an example of continuous data?

the distance between 1 and 1.1 (measurements)

15
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What is nominal measurement?

Categories not ordered

16
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What is ordinal measurement?

data that can be ordered, difference however are meaninigless

17
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What is interval measurement?

ordered, differences are meaningful, without a natural zero

18
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What is ratio data?

ordered, differences are meaningful, there is a natural zero

19
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What is an example of nominal measurement?

Categories of religions, race, or gender (they can categorical but they cannot be seen as better or less)

20
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What is an example of ordinal data?

Players in track orders, Color on the spectrum

21
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What is an example of interval data?

When the temperature is zero degrees, it doesn’t mean that there is no temperature, it just means it is really cold

22
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What is an example of ratio data?

Counting money when it is zero it means there is none