Sample mean: mean μ, SD σ/√n. Sample proportion: mean p, SD √(p(1 − p)/n).
Proportions (Unit 3)
Interval for p: p̂ ± z*√(p̂(1 − p̂)/n). Uses p̂.
Test for p: z = (p̂ − p₀)/√(p₀(1 − p₀)/n). Uses p₀.
Interval for p₁ − p₂: each sample's own p̂ in the standard error.
Test of p₁ = p₂: the pooled p̂ = (x₁ + x₂)/(n₁ + n₂).
Chi-square: Σ (observed − expected)²/expected, df = (rows − 1)(columns − 1), expected = row total × column total ÷ grand total.
Means (Unit 4)
One mean or paired differences: t = (x̄ − μ₀)/(s/√n), df = n − 1.
Two means: SE = √(s₁²/n₁ + s₂²/n₂), with the calculator's degrees of freedom.
Use t, not z, whenever σ is estimated by s.
Regression (Unit 5)
The line passes through (x̄, ȳ): a = ȳ − b x̄.
r² is the fraction of the variation in y explained by the line.
A residual plot with no pattern supports a linear model.
Try 2 questions
Question 1
A manufacturer claims that 25% of its customers buy an extended warranty. In a random sample of 200 customers, 62 bought one. For a test of H₀: p = 0.25 against Hₐ: p > 0.25, what are the test statistic and p-value?
Question 2
For a set of data, x̄ = 20, s_x = 4, ȳ = 50, s_y = 10 and r = 0.6. What is the slope of the least-squares line predicting y from x?