Intro Flashcards

1
Q

What is a measure of central tendency?

A

A measure that gives a general idea of the centre of the distribution of the data

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2
Q

If you have nominal data, what measure would you use to find the central tendency?

A

Mode

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3
Q

Advantage and 2 disadvantages of mode?

A

Not affected by extremely high or low values (outliers)

Dis:

  • some distributions have no mode (uniform dist.)
  • ignores distribution of observations - non modal values therefore have no weight
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4
Q

Problems with the mode? (2)

A

Some distributions have more than one mode (bimodal)

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5
Q

Four types of measurement of data?

A

Nominal
Ordinal
Interval
Ratio

NOIR

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6
Q

What is nominal data (3) and example?

A

Observations of a qualitative variable are measured and recorded as labels or names.
Data is classified into categories and can’t be sorted into an order.
Only mathematical operation permitted is classifying and counting.

Example: gender

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7
Q

2 characteristics of nominal data?

A

Mutually exclusive

Exhaustive (each object must appear in one of the categories)

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8
Q

What is ordinal data (2) and example?

A

Data oranges in an order, but differences between values are meaningless.
Most advanced mathematical operation on this data is ranking of categories.

Eg. Level of education:
GCSE
A level
Degree

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9
Q

What is interval data (2) and example?

A

Meaningful amounts of differences between data values can be determined.
No absolute zero score

Eg. Temperature in Celsius or shoe size

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10
Q

Why can’t you say ‘100 degrees Celsius is twice as hot as 50 degrees Celsius’?

A

Because 100 is not twice as hot as 50, since 0 doesn’t represent absolute zero (doesn’t represent the absence of heat, only the freezing point of water)

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11
Q

What is ratio data and example?

A

Extension of the interval data to include an inherent zero starting point.

Eg. Weight, age, temperature in kelvin

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