Hypothesis Testing Flashcards

1
Q

What are the 4 tests for Hypothesis testing?

A

Z scores - Z statistic
T Test - T statistic
ANOVA - F statistics
Chi Squared

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2
Q

What is standard deviation?

A

The average distance of values from their mean

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3
Q

What is an interval variable?

A

Values with meaningful differences e.g 10, 20, 30, 40

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4
Q

What is an ratio variable?

A

The same as an interval variable but 0 indicated none. e.g 0 dogs

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5
Q

What is a test of significance looking for?

A

How unlikely/likely that an observed characteristic has occured by chance alone

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6
Q

What is a TYPE 1 error?

A

False positive - rejects a true null hyp

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7
Q

What is a TYPE 2 error?

A

False negative - fails to reject (accepts) a false null hyp

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8
Q

What is hypothesis testing?

A

the formal procedures to accept or reject statistical hypotheses.

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9
Q

What does hypothesis testing require?

A

requires that you already know a lot about the research topic, enough to construct a hypothesis derived from either theory or policy.

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10
Q

What must a new hypothesis be?

A
  • Precise topic
  • Informed
  • Testable
  • Falsifiable
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11
Q

What is a one tailed hypothesis?

A

A 1-tailed hypothesis means that we are predicting a specific response.

One directional

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12
Q

What is a two tailed hypothesis?

A

A 2-tailed hypothesis means that we had no specific idea of what would happen – no directional.

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13
Q

Formulate a null hypothesis

A

There are no statistically significant differences between …. And ….. Any observed differences between them are due to chance alone.

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14
Q

Formulate a alternative hypothesis

A

There are statistically significant differences between …. and …. The observed differences are not due to chance but due to other factors.

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15
Q

What is a level of signficance?

A

Probabilty of being wrong and confidence in being right

0.05

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16
Q

Why are there different tests?

A
  • Depends on certain data parameters to choose the appropriate test
17
Q

What do all tests test for?

A

Statistical significance

18
Q

What is a p value?

A

A concept related to significance level

19
Q

what does a small p value show?

A

the less likely it is that observed data has arisen by chance

20
Q

Why are p values good?

A

Not only do they help us reject/accept hypothesis, they indicate how confidence we can be.

21
Q

How do you reduce the probability of making a type 1 error?

A

Reduce the level of significance alpha e.g. 0.05 to 0.01