Calculate the test statistic and p-value for each sample. Use Appendix C-2 to calculate the p-value. (Negative values should be indicated by a minus sign. Round your test statistic to 3 decimal places and p-value to 4 decimal places.)
Test Statistic | p-value | |||
(a) H0: ππ ≤ .55 versus H1: ππ > .55, α = .05, x = 56, n = 86 | ||||
(b) H0: ππ = .30 versus H1: ππ ≠ .30, α = .05, x = 20, n = 39 | ||||
(c) H0: ππ ≥ .10 versus H1: ππ < .10, α = .01, x = 7, n = 103 | ||||
A)
sample success x = | 56 | ||
sample size n = | 86 | ||
std error σp =√(p*(1-p)/n) = | 0.0536 | ||
sample prop p̂ = x/n=56/86= | 0.6512 | ||
z =(p̂-p)/σp=(0.651-0.55)/0.054= | 1.886 | ||
p value = | 0.0296 | (from excel:1*normsdist(-1.886) |
(please try 0.0297 if this comes wrong)
B)
sample success x = | 20 | ||
sample size n = | 39 | ||
std error σp =√(p*(1-p)/n) = | 0.0734 | ||
sample prop p̂ = x/n=20/39= | 0.5128 | ||
z =(p̂-p)/σp=(0.513-0.3)/0.073= | 2.900 | ||
p value = | 0.0037 | (from excel:2*normsdist(-2.9002547149) |
C)
sample success x = | 7 | ||
sample size n = | 103 | ||
std error σp =√(p*(1-p)/n) = | 0.0296 | ||
sample prop p̂ = x/n=7/103= | 0.0680 | ||
z =(p̂-p)/σp=(0.068-0.1)/0.03= | -1.084 | ||
p value = | 0.1392 | (from excel:1*normsdist(-1.083862206) |
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