Poisson Hypothesis Testing (DP IB Maths: AI HL)

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Poisson Hypothesis Testing

What is a hypothesis test using a Poisson distribution?

  • You can use a Poisson distribution to test whether the mean number of occurrences for a given time period within a population has increased or decreased
    • These tests will always be one-tailed
    • You will not be expected to perform a two-tailed hypothesis test with the Poisson distribution
  • A sample will be taken and the test statistic x will be the number of occurrences which will be tested using the distribution X tilde Po left parenthesis m right parenthesis

What are the steps for a hypothesis test of a Poisson proportion?

  • STEP 1: Write the hypotheses
    • H0 : m = m0
      • Clearly state that m represents the mean number of occurrences for the given time period
      • m0 is the assumed mean number of occurrences
      • You might have to use proportion to find m0
    • H1 : m < m0 or H1 : m > m0
  • STEP 2: Calculate the p-value or find the critical region
    • See below
  • STEP 3: Decide whether there is evidence to reject the null hypothesis
    • If the p-value < significance level then reject H0
    • If the test statistic is in the critical region then reject H0
  • STEP 4: Write your conclusion
    • If you reject H0­ then there is evidence to suggest that...
      • The mean number of occurrences has decreased (for H1 : m < m0)
      • The mean number of occurrences has increased (for H1 : m > m0)
    • If you accept H­0 then there is insufficient evidence to reject the null hypothesis which suggests that...
      • The mean number of occurrences has not decreased (for H1 : m < m0)
      • The mean number of occurrences has not increased (for H1 :m > m0)

How do I calculate the p-value?

  • The p-value is determined by the test statistic x
  • The p-value is the probability that ‘a value being at least as extreme as the test statistic’ would occur if null hypothesis were true
    • For H1 : m < m0 the p-value is straight P left parenthesis X less or equal than x vertical line m equals m subscript 0 right parenthesis
    • For H1 : m > m0 the p-value is straight P left parenthesis X greater or equal than x vertical line m equals m subscript 0 right parenthesis

How do I find the critical value and critical region?

  • The critical value and critical region are determined by the significance level α%
  • Your calculator might have an inverse Poisson function that works just like the inverse normal function
    • You need to use this value to find the critical value
    • The value given by the inverse Poisson function is normally one away from the actual critical value
  • For H1 : m < m0 the critical region is X less or equal than c where c is the critical value
    • c is the largest integer such that straight P left parenthesis X less or equal than c vertical line m equals m subscript 0 right parenthesis less or equal than alpha percent sign
      • Check that straight P left parenthesis X less or equal than c plus 1 vertical line m equals m subscript 0 right parenthesis greater than alpha percent sign
  • For H1 : m > m0 the critical region is X greater or equal than c where c is the critical value
    • c is the smallest integer such that straight P left parenthesis X greater or equal than c vertical line m equals m subscript 0 right parenthesis less or equal than alpha percent sign
      • Check that straight P left parenthesis X greater or equal than c minus 1 vertical line m equals m subscript 0 right parenthesis greater than alpha percent sign

Examiner Tip

  • In an exam it is very important to state the time period for your variable
  • Make sure the mean used in the null hypothesis is for the stated time period

Worked example

The owner of a website claims that his website receives an average of 120 hits per hour.  An interested purchaser believes the website receives on average fewer hits than they claim.  The owner chooses a 10-minute period and observes that the website receives 11 hits.  It is assumed that the number of hits the website receives in any given time period follows a Poisson Distribution.

a)
State null and alternative hypotheses to test the purchaser’s claim.

4-12-5-ib-ai-hl-poisson-hyp-test-a-we-solution

b)
Find the critical region for a hypothesis test at the 5% significance level.

4-12-5-ib-ai-hl-poisson-hyp-test-b-we-solution

c)
Perform the test using a 5% significance level. Clearly state the conclusion in context.

4-12-5-ib-ai-hl-poisson-hyp-test-c-we-solution

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Dan

Author: Dan

Expertise: Maths

Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.