Research and Statistics Flashcards

1
Q

What are the different scales of measurement?

A

Nominal
Ordinal
Ratio
Interval

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2
Q

What is nominal data?

A

Numbers are not in a particular order
No real properties they are labels or categories
Quantitative
Ex: hair colour, gender

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3
Q

What is ordinal data?

A

Group variables into ordered categories
They have a natural order or a rank
Qualitative
Ex: income, education level

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4
Q

What is ratio data?

A

Has a true zero
Quantitative
Measures variables on a continuous scale
Ex: weight height or age

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5
Q

What is interval data?

A

Data is measured on a scale
Vales are measures, constants and valued
Has equal intervals between values
Ex: Temperature

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6
Q

What is descriptive statistics?

A

Describes data
It condenses and organizes data
Also summarizes data

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7
Q

What is Inferential statistics?

A

allow inferences & generalizations from the sample
to population

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8
Q

What is percentile rank?

A

Percentage of individuals with a score equal to
or less than the percentile value

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9
Q

What is the mean and how do you find it?

A

The mean is the average
Find it by adding up all numbers from data and dividing it by how many numbers there are

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10
Q

What is the median and how do you find it?

A

The mode is the middle number of the data, data has to be in order

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11
Q

What is the mode and how do you find it?

A

The most repeated number in the data

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12
Q

What is the range?

A

The difference between the lowest an highest value in the data

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13
Q

What is the standard deviation and how do you find it?

A

Most common way of describing the spread of a
group of scores
Steps for computing the standard deviation:
1. Figure the variance
2. Take the square root

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14
Q

What is variance?

A

The expectation of the squared deviation of a random variable from its mean, and it informally measures how far a set of (random) numbers are spread out from their mean.
Find it by multiplying the standard deviation to itself

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15
Q

How do you calculate a z score?

A

Z is calculated by subtracting the mean
from a score, then dividing by SD
z-scores are useful for comparing distributions with
different means & standard deviations

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16
Q

What is probability?

A

The likelihood that a particular event will
occur

17
Q
A