Download presentation
Presentation is loading. Please wait.
Published bySharyl Gilbert Modified over 6 years ago
1
Hypothesis Testing Elements of a Hypothesis Test:
Null Hypothesis H0: µ = 21 yr 2) Alternative Hypothesis HA: µ ≠ 21 yr 3) Test Statistic X 4) Decision Rule – Rejection Region R: X > 22 yr X < 20 yr
2
Hypothesis Test as a Decision Table:
Null Hypothesis True False Accept H0 Reject H0 α = P(Type I Error) = P(Reject H0|H0 is True) β = P(Type II Error) = P(Accept H0|H0 is False)
3
Analogy with US Criminal Legal System
Person Not Guilty Guilty Acquit Convict
4
Use alpha to Determine the two Critical Values
α/2 α/2 µ = 21 Reject H Accept H Reject H0 Standard Normal Curve
5
Hypothesis Test: H0: µ =21 HA: µ ≠ 21 R: X > 21.98 X < 20.02 We could also base the test upon the Standard Normal Curve: H0: µ = 21 HA: µ ≠ 21 α = .05 R: Z > 1.96 Z < -1.96
6
Average Student Credit Load
n = X = 14.2 s = 2 H0: µ = 15 cr HA: µ ≠ 15 cr α = . 10 R: Z > Z < P-Value for a Test - Probability that H0 is True If P-Value < α, then Reject H0 If P-Value ≥ α, then Accept H0
7
Upper Tail Test: H0: µ ≤ µ0 HA: µ > µ0 R: Z > Zα Coffee shop currently sells 320 cups/day n =40 X = 330 cups/day s = 40 cups/day H0: µ ≤ 320 cups/day HA: µ > 320 cups/day α = .05 R: Z >
8
Lower Tail Test: H0: µ ≥ µ0 HA: µ < µ0 R: Z < -Zα Employee Absenteeism currently 10.2 day/yr n = X = 9.3 day/yr s = 4 day/yr H0: µ ≥ 10.2 day/yr HA: µ < 10.2 day/yr α = .10 R: Z <
9
Small Sample Tests – ( n < 30 )
H0: µ = µ0 HA: µ ≠ µ0 R: t > tα/2,df=n-1 t < -tα/2,df=n-1 Hour Glass Factory: n = X = 61 min s = 2 min H0: µ = 60 min HA: µ ≠ 60 min α = .05 R: t > t <
10
n = X = 11 hr/wk s = 3 hr/wk Work-Study Hours: H0: µ = 10 hr/wk HA: µ > 10 hr/wk α = .05 R: t > 20 lb Bags of Dog Food n = X = 19 lb s = 2 lb H0: µ = 20 lb HA: µ < 20 lb α = .05 R: t <
11
Tests on the Population Proportion:
H0: p = p0 HA: p ≠ p0 R: Z > Zα/2 Z < -Zα/2 A Fair Coin? n = X = 83 H0: p = .50 HA: p ≠ .50 α = .05 R: Z > Z <
12
Type II Error – β = P(Accept H0|H0 is False)
Reject H0 Accept H0 Suppose µ = 22 Suppose µ = 23
13
1 – β = Power of the Test α = Significance of the Test µ P(Accept H0) P(Reject H0) 21 .95 .05 21.5 .8315 .1685 22 .4840 .5160 22.5 .1492 .8508 23 .0207 .9793
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.