Chapter 9: Hypothesis - Step 1: Hypotheses H₀: µ = µ₀ VS Hₐ: µ ≠ µ₀ - Step 2: Assumptions Variable is quantitative/categorical Data obtained randomized? Population distribution approximately normal (SIZE)? - Step 3: Compute test statistic For Population Proportion: ̂ √
, ̂ is stat, p0 is pop
Chapter 10: 2 Populations
Chapter 13: Regression Analysis
CI for difference of Means (Independent samples)
r-coefficient / Regression: ̅ ∑( )(
( ̅
̅ )
√(
(
)
)
CI for difference of 2 proportions (
)
√(
)
(
sum of squares = ∑( = ∑( standardized residual =
Test stat for difference of Means (Independent samples) ( ̅ ̅ ) (̅ ̅ ) √(
)
(
)
, df = n – 1 √
- Step 5: Conclusion Small p, reject H₀ and conclude that… Large p, evidence to support H₀
⁄√
-
else, use pooled p
̂)
Test stat: ⁄
Residual s.d: )
(
Linear, as from scatter plot Data obtained randomly Points have similar spread at different values of x
CI:
(
̂)
(
( )
Test stat for diff of 2 proportions √
) ̂)
Regression Analysis Assumptions:
Test stat: diff of means (dependent) ̅ - Step 4: Derive p-value
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