A company claims that the mean monthly residential electricity consumption in a certain region is more than 870 kilo Watt-hours (kWh). You want to test this claim. You find that a random sample of 69 residential customers has a mean monthly consumption of 910 kWh. Assume the population standard deviation is 120 kWh. At alpha αequals=0.10 can you support the claim? Complete parts (a) through (e).
null hypothesis:Ho μ | <= | 870 | |
Alternate Hypothesis:Ha μ | > | 870 | |
for 0.1 level with right tail test , critical z= | 1.28 | ||
Decision rule:reject Ho if test statistic z>1.28 | |||
population mean μ= | 870 | ||
sample mean 'x̄= | 910.000 | ||
sample size n= | 69.00 | ||
std deviation σ= | 120.000 | ||
std error ='σx=σ/√n= | 14.4463 | ||
test stat z = '(x̄-μ)*√n/σ= | 2.77 | ||
p value = | 0.0028 |
since p value <0.10 ; we reject null hypothesis
we have sufficient evidence to support the claim
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