M3 Flashcards

1
Q
  • These are characteristics that describe the middle or most commonly occurring values in a series
  • They are used as summary measures for the series that attempts to describe a whole set of data with a single value that represents the middle or center of each distribution
A

MEASURES OF CENTRAL TENDENCY

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2
Q

often called the average, of a numerical set of data, is simply the sum of the data values divided by the number of values

A

Mean

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3
Q

sum of value / num of value

A

mean

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4
Q

the number that falls in the middle position once the data has been organized

A

Median

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5
Q

(n+1) / 2

A

Median

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6
Q

a set of data is simply the value that appears most frequently in the set

A

Mode

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7
Q

2 levels of measurement

A

Qualitative and Quantitative

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8
Q

level of measurement: data consists of values into nonnumeric categories.
I.e. subjects in college, education level

A

qualitative

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9
Q

data consist of values representing counts or measurements. It can be measured by tool, scale, or count

A

quantitative

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10
Q

2 Types of qualitative data

A

1.Nominal level (by name)
2. Ordinal level (by order)

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11
Q

Type of qualitative data: No natural ranking or ordering of the data exists

A

Nominal level

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12
Q

Type of qualitative data: Can’t get a precise mathematical difference between levels. ( Could be coded mathematically)

A

Ordinal level

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13
Q

_____ can take on any value in an interval but could also have decimals (weight, home value, height and 2.45) while discrete can take on only particular values (shoe size, number of students and number of prerequisite courses).

A

continuous

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14
Q

Occurs when a numerical scale does not have a ‘true zero’ start point.

▪ Differences make sense, but ratios do not.
▪ 100° Fahrenheit is not twice as hot as 50° Fahrenheit.
▪ Does 0° Fahrenheit represent an absence of heat?
▪ Equal interval
▪ EXAMPLES : Temperature, Calendar year and IQ test

A

Interval (subtraction level)

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15
Q

Occurs when scale does have a ‘true zero’ start point.

▪ At this level, both differences and ratios are meaningful.
▪ 2 oz glasses of water IS equal to one 4 oz glass of water “ 4oz of water is twice as much as 2 oz of water.
▪ 0 oz of water is a ‘true zero’ as it is empty, absence of water.
▪ Ratios involve division (or multiplication) rather than addition or subtraction.
▪ Examples: Mass, Length and Time Levels of Measurement

A

Order

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16
Q

Named Variables

A

nominal

17
Q

named + ordered variables

A

ordinal

18
Q

Named + ordered + Proportionate interval between variables

A

Interval