Stat Cheat Sheet for Minitab

# Stat Cheat Sheet for Minitab - CI for when is known MGN of...

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CI for μ when σ is known MGN of SE = z1-α/2 (σ/√n) CI = point estimate +/- MGN of SE n = (z 1-α/2* σ / MGN of SE)² CI for μ when σ is unknown -enter data -STAT-BASIC STATISTICS- 1 Sample T -enter Confidence Level- OK Hypothesis Test of μ using CI -enter data -graph data-evidence? -find CI for μ -if null value lies within CI, null hypothesis is true -if null value does NOT lie within CI, null hypothesis is contradicted Hypothesis Test of μ using P-values -enter data -STAT-BASIC STATISTICS- 1 Sample T -TEST MEAN -enter null value -set alternative hypothesis -the smaller the P-value, the more the null hypothesis is contradicted CI for π based on p z = (p- μ)/σ CI = p +/- MGN of SE MGN of SE = (√p(1-p)/n) n = π(1- π)( z 1-α/2 /MGN of SE)² CI for π based on p/Hypothesis Test for p -enter data -STAT-BASIC STATISTICS- 1 Proportion -C1- trials, C2- successes (if no data given click SUMMARIZED DATA) -Number of Trials (n) – Number of Successes -Options- Confidence Level- OK Two μ based on Independent Samples E(X 1 –X 2 ) = E(X 1 ) – E(X 2 ) VAR(X 1 –X 2 ) = VAR(X 1 ) - VAR(X 2 ) SE(X 1 –X 2 ) = √σ² 1 /n 1 + σ² 2 /n 2 T = (X 1 –X 2 ) – (μ 1 – μ 2 )/√ σ² 1 /n 1 + σ² 2 /n 2 Hypothesis Test for μ 1 – μ 2 -enter STACKED data

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-STAT-BASIC STATISTICS- 2 Sample T -C1-samples, C2-Subscripts -enter Confidence Level-OK
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Stat Cheat Sheet for Minitab - CI for when is known MGN of...

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