Inferential Statistical Tests Flashcards

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1
Q

What is probability?

A

A numerical measure of the chance (or likelihood) that certain events will occur.

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2
Q

What is the equation that is used to calculate the probability of a particular outcome.

A

the number of particular outcomes / the number of possible outcomes.

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3
Q

Why do we use statistical tests?

A

To assess the probability that a set of results are down to chance as opposed to representing a real effect.

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4
Q

What is a significant result?

A

A result that is strong enough for us to be confident it represents a real effect.

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5
Q

What is the standard level of significance?

A

p ≤ 0.05

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6
Q

What does p ≤ 0.05 mean?

A

The probability that the results were due to chance is less than or equal to 5%

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7
Q

What is the stringiest level of significance?

A

p ≤ 0.001 (0.1%)

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8
Q

In what cases would psychologists use to the stringiest level of significance?

A

When considering the effects of a new drug or when conducting a replication of previous research.

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9
Q

What is the most lenient level of significance?

A

p ≤ 0.10 (10%)

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10
Q

In what cases would psychologists use the most lenient level of significance?

A

When conducting research into new topics that haven’t been tested.

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11
Q

What is a type one error?

A

This is where you accept a hypothesis that is false (false positive).

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12
Q

What is a type one error also known as?

A

An optimistic error because you are optimistically accepting the hypothesis when it is actually wrong.

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13
Q

Which level of significance increases the chance of a type one error?

A

The most lenient level of significance (p ≤ 0.10).

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14
Q

What is a type two error?

A

This is where you reject a hypothesis that is, in fact, true (false negative).

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15
Q

What is a type two error also known as?

A

A pessimistic error because you are pessimistically rejecting the hypothesis even when it is correct.

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16
Q

Which level of significance increases the chance of a type two error?

A

The stringiest level of significance (p ≤ 0.001).