4] Probability % Z-Scores Flashcards

1
Q

What is inferential statistics

A

It is making estimates about a population from a sample of data

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2
Q

What is a core component of inferential statistics

A

Probability

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3
Q

What is a theory

A

An explanation of an aspect of the natural world that can be or that has been repeatedly tested

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4
Q

What do we use to test a theory

A

A testable hypothesis

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5
Q

What does a testable hypothesis do

A

They are capable of disproving or invaliding a theory

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6
Q

How do we test a hypothesis

A

Make a basic research questions, then collect data from a sample and preform a statistical analysis

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7
Q

How do we know a theory is false

A

Our observations contradict our predictions

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8
Q

How do we know a theory is true

A

Our observations are consistent with our prediction

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9
Q

What is a P-Value

A

It is a probability value

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10
Q

What is the simple probability formula

A

The number of favourable outcomes / total number of possible outcomes

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11
Q

What do standardised scores (z-scores) do

A

They allow us to compare scores from different scales
E.g: Z-Scores

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12
Q

What are Z-Score

A

They express raw data as standard deviations away from the mean, allowing us to know where a person falls on a distribution

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13
Q

How do Z-Scores work

A

They transform raw scores into standard deviation units, their distribution will always have the mean 0 and SD 1

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14
Q

What is the Z-Scores formula

A

Raw score (x) - Mean / Standard Deviation (SD)

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15
Q

What parts are involved in interpreting Z-Scores

A

1] Sign of the z-scores
2] Numerical value

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16
Q

1] Sign of the z-scores

A

Positive= The person is above average
Negative= The person is below average
0= The person is exactly average

17
Q

2] Numerical value

A

Is an indication of how far the z-score is from the mean, I’m standard deviations
The large the value the more extreme the score is in distribution (further from the mean)

18
Q

Formula for calculating raw scores from Z-Scores

A

Z-Score x SD then + this to the mean

19
Q

Characteristics of normal distribution

A

1] Bell shaped
2] Mean, median and mode are equal and at the centre of distribution
3] Location determined by the mean