Session 5: Statistical testing Flashcards

1
Q

inferential statistics

A

drawing conclusions about a population based on sample data

- we formulate hypotheses using a sample drawn from the population

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2
Q

Sampling error

A

random variability in a statistic from sample to sample

- bc. they sample statistics are not perfect estimated of their corresponding population parameter

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3
Q

Nulll hypothesis tetsing

A

formal approach to decicidng whther a statistical relationship in a sample reflects a real relationship in the population ot is just due to chance

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4
Q

What is a research hypothesis?

A

claims a more or less precise relationship between two or more variales that is expected to holf for a given population

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5
Q

Research hypothesis can be classified into..

A
  1. Hypothesis about differences
  2. Hypothesis about correlations
  3. HYpothesis about changes
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6
Q

The logic of null hypothesis testing

How likely the sample result would be if the null hypothesis were true?

A
  • if the sample result would be extremely unliekly if the null hypothesis were true then we reject the null hypothesis in favor of the alternative hypothesis
  • if the sample result would not be extremely unlikely if the null hypothesis were true, then we retain the null hypothesis
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7
Q

p- value (and it’s meaning)

A

probability of the sample result or a more extreme result if the null hypothesis were true

  • low p-value: the sample result would be unlikely if the null hypothesis were true, rejection of the null hypothesis
  • high p-value: the sample result would be likely if the null hypothesis were ture, retention of the null hypothesis
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8
Q

alpha

A

says how low the p-value must be before the sample result is considered unlikely enough to reject the null hypothesis (0.05)

  • if there is a 5% chance or less of a result if the null hypothesis were true, then we rejcet the null hypothesis (result is significant)
  • if there is a greater chnace than 5% pf a result if the null hypothesis were ture, the null hypothesis is retained
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9
Q

sampling distribution

A
  • probability distribution of a statistic based on a large number of sample from a given popuation
  • in each null hypothesis tetsing study, we determine a statistic tat summarizes, as much as possible, all of the hypothesis relevant info of a study (sample dependent)
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10
Q

Type 1 error

A

Rejecting the null hypothesis when it is true

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11
Q

Type 2 error

A

retaining the null hypothesis when it is false

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