Stats 4 - HT for Proportion (including calculation of the Critical Region) Flashcards

1
Q

What is a hypothesis?

A

A statement made about the value of the population parameter that we wish to test by collecting evidence in the form of a sample

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2
Q

What is the null hypothesis?

A

H0 the default position- nothing has changed unless proven otherwise
* the value that you’d expect

eg: the coin is fair p=0.5

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3
Q

Wha is the alternate hypothesis?

A

H1: there has been some change in population parameter

eg: the coin is biased towards heads p>0.5

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4
Q

What is a test statistic?

A
  • the evidence from the sample
    Test statistic X is what we observed
    Eg: the number of heads seen in 10 throws

a distribution

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5
Q

what is the level of significance ?

A

the maximum probability where we could reject the null hypothesis (or, equivalently, represents the chance of incorrectly rejecting H0)

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6
Q

what is a hypothesis test?

A

using statistical techniques to test a particular claim ot theory

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7
Q

what is the p value?

A

the probability that you obtain a value as extreme as the test statistic

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8
Q

what are the main steps in carrying out a hypothesis test for a population proportion?

A
  1. define the null & alternative hypotheses
  2. determine if it is a 1-tail or a 2-tail test
  3. always assume H0
  4. describe the associated binomial model
  5. identify/calculate the test statistic (TS)
  6. if the TS is on the LHS, find “at most”
    if the TS is on the RHS, find “at least”
  7. calculate the p-value
  8. compare p-vale and significance level
  9. accept or reject H0
  10. interpret the conclusions in context
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9
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10
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11
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12
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13
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14
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15
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19
Q

What is the critical region?

A

The range of values of the test statistic that would lead you to rejecting H0 (null hypothesis)

20
Q

What is the critical value?

A

The values on the boundary of the critical region

22
Q

What is the actual significance level?

A

The actual probability of being in the critical region

23
Q

What is the actual significance level?

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