Module 4: Confidence Intervals and Hypothesis Testing Flashcards

1
Q

Standard Error

A
  • Measures how accurately a sample distribution represents the population
  • Ex: Sample mean deviates from the actual mean, the difference is the standard error
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2
Q

Confidence Interval

A
  • The probability that a population parameter will fall between a set of values
  • Ex: Data from 100 schools, CI of 90% of the means from those school will fall between the CI values
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3
Q

Null Hypothesis

A

-Tests that nothing happens

H sub 0

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4
Q

Alternate Hypothesis

A
  • Test that something happens

- H sub a

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5
Q

P-value

A
  • The probability of obtaining results at least as extreme as the observed results of a statistical hypothesis test
  • If it’s less than 5% null hypothesis is rejected
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