Inferential Statistics And Errors In Hypothesis Testing

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8 Terms

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What are Inferential statistics

  • Used for hypothesis testing

  • Analyzing data samples and making statistical predictions

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Null hypothesis

  • Independent variable had no effect on the experimental outcome

  • Statistical validity requires the rejection of the null hypothesis

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Alternative hypothesis

Independent variable did effect the experimental outcome

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Type 1 error in hypothesis testing

  • Rejecting the null hypothesis when it is true or correct

  • False positive

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P value

Statistical probability of committing a type 1 error

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If P < 0.05

Reject the null

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If P > 0.05

Accept the null

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Type 2 error in hypothesis testing

  • Accepting the null hypothesis when it is false or wrong

  • False negative

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