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Summary Hypothesis testing cheat sheet

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A step by step guide and format to earn full marks in any hypothesis test question in an A-level OCR stats exam

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  • August 23, 2022
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  • 2021/2022
  • Summary
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Steps for a binomial Steps for a Normal Steps for a Corelation c
hypothesis test: hypothesis test: hypothesis test:
1) State the parameters and known distribution 1) State the parameters and normal distribution 1) State the parameters and corelati
 X is the number of ….  X is the number of ….  ‘ρ’ is the linear corelation coefficien
 p is the proportion of…  μ is the mean number of… 2) State the null and alternate hypoth
 X ~ B (n , p)  X ~ N (μ ,σ²)  h₀: ρ = 0
2) State the null and alternate hypothesis 2) State the null and alternate hypothesis  h₁: ρ (<, >, ≠ ) 0
 h₀: p = …  h₀: μ = … 3) Note its tails, significance level and
 h₁: p (<,>,≠) …  h₁: μ (<, >, ≠ ) …  (1 or 2) tailed
3) State the distribution under H₀ 3) State the sample mean distribution under H₀  (… %) significance level
 X ~ B (n , p)  x̅ ~ N (μ , (σ/√n)²) n=…
4) Note its tails and significance level 4) Note its tails and significance level 4) Obtain critical value from table give
 (1 or 2) tailed  (1 or 2) tailed  critical value = …
 (… %) significance level  (… %) significance level 5) Compare modulus of critical value
5) Find the probability of getting the observed 5) Find the probability of getting the observed  |critical value| (<,>) r
value on calculator value on calculator 6) Conclude if h₀ is rejectable or not /
 P (X (>,<) …) = …  P (x̅ (>,<) …) = …  therefore there is (sufficient , insuffi
6) Compare probability to significance level 6) Compare probability to significance level reject h₀
 … (<,>) …  … (<,>) …  therefore there is (sufficient , insuffi
7) Conclude if h₀ is rejectable or not / in 7) Conclude if h₀ is rejectable or not / in suggest there is (a, a positive, a negativ
context context corelation between …
 therefore there is (sufficient , insufficient)  therefore there is (sufficient , insufficient)
evidence to reject h₀ evidence to reject h₀
 therefore there is (sufficient , insufficient)  therefore there is (sufficient , insufficient)
evidence to suggest … evidence to suggest …

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