Week 1 Flashcards

1
Q

What are statistics

A

Mathematical procedures used to help understand information

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2
Q

What is data

A

Measurements, observations, scores

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3
Q

What is a data set

A

A collection of measurements

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4
Q

What is datum

A

1 piece of data (singular)

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5
Q

What are variables and values

A

Pieces of information collected about a characteristic or condition

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6
Q

What is standardizing

A

Universal language to ensure everyone is on the same page

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7
Q

What is operationalizing a construct

A

How we define a variable, external factors we are using or the cluster of behaviours that we use as an indictor of construct

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8
Q

What is scaling

A

The process of putting a number value on a score

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9
Q

What is a nominal measurement

A

Nominal level of measurement is the least precise and informative, because it only names the ‘characteristic’ or ‘identity’ we are interested. In other words, in nominal variables, the numerical values just “name” the attribute uniquely. In this case, numerical value is simply a label

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10
Q

What is a ratio measurement

A

The highest level of measurement that provides the most information

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11
Q

What is ordinal measurement

A

Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are not known e.g a scale

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12
Q

What is interval measurement

A

The interval level is a numerical level of measurement which, like the ordinal scale, places variables in order. Unlike the ordinal scale, however, the interval scale has a known and equal distance between each value on the scale (imagine the points on a thermometer).

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13
Q

Name two types of parametic data

A

Ratio, Interval

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14
Q

Name two types of non-parametric data

A

Ordinal, Nominal

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15
Q

What is the independent variable?

A

The “cause” - can be manipulated

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16
Q

What is the dependant variable?

A

The “effect” - cannot be manipulated

17
Q

What is an extraneous variable?

A

Variables that were not intentionally included in the study

18
Q

What are descriptive statistics?

A

Summarise and collect data collected from a sample. They tell us the characteristics of a sample in terms of the variables we are interested in

19
Q

What are inferential statistics?

A

Used to generlise the information we have from our sample to the population of interest