Math AI: Hypothesis Testing (HL Part)

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Last updated 2:25 PM on 5/17/26
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17 Terms

1
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purpose of binomial hypothesis testing?

to figure out if an unusual result is just bad luck or evidence that something has actually changed

2
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when to use binomial hypothesis testing?

  • two outcomes (pass or fail)

  • fixed number of trials

  • mean and standard deviation are different

  • constant probability

3
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null hypothesis for binomial hypothesis testing?

Ho: p= po
e.g. both cheeses are equally likely to be selected so p=0.5

4
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alternative hypothesis for binomial hypothesis testing?

H1: p is not equal to po
OR
p > po (null hypothesis probability)
OR
p < po (null hypothesis probability)

5
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how to determine upper and lower bounds for binomial hypothesis testing?

if p > po, right tailed test, meaning lower bound is X.

if p < po, left tailed test, meaning upper bound is X.

6
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conclusions for any test?

if p value is less than significance level, reject null hypothesis
if p value is more than significance level, fail to reject null hypothesis

7
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purpose of poisson hypothesis testing?

to determine if the rate at which rare or independent events occur has significantly changed within a given interval of time or space

8
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when to use poisson hypothesis testing?

  • fixed time period

  • many possible outcomes

  • mean and variance is the same (parameter)

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null hypothesis for poisson hypothesis testing?

Ho: data follows poisson distribution
OR
Ho: Po (value)

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alternative hypothesis for poisson hypothesis testing?

H1: data does not follow poisson distribution

OR
H1: mean is less than Ho ( mean < Ho)

OR
H1: mean is more than Ho (mean > Ho)

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if mean < Ho poisson hypothesis testing?

critical region is on the left
Lower bound: 0
upper bound: x

12
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if mean > Ho poisson hypothesis testing?

critical region is on the right
lower bound: X
upper bound: 999999

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What is PMCC?

Pearson Product Moment Correlation Coefficient test

14
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purpose of PMCC test?

to test if there is a linear correlation for the whole population

15
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null hypothesis for PMCC test?

Ho: p = 0 (population has no correlation)

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alternative hypothesis for PMCC test?

H1: p is not equal to 0 (yes there is correlation)
OR
H1: p > 0 (positive correlation)
H1: p < 0 (negative correlation)

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function on the calculator for PMCC test?

linear regression T-test to find PMCC for population (p val)

linear regression to find PMCC for sample ( r )