2. A mobile company is innovating a new mobile phone and is interested how long it will take for a battery
to charge fully. The standard deviation is known to be 15 minutes. The company wishes to test if the
mean charging time is at most 30 minutes compared to the claim that it is more than 30 minutes. A
random sample of 35 mobile phones was selected and the mean charging time is more than 35
minutes. Can it be concluded that the mean charging time is not at most 30 minutes if the critical region
is greater than 35 minutes?
"\\sigma = 15 \\\\\n\nn=35 \\\\\n\n\\bar{x} > 35 \\\\\n\nH_0: \\mu>30 \\\\\n\nH_1: \\mu<30"
One-tail test.
Test-statistic:
"Z= \\frac{\\bar{x} - \\mu}{\\sigma \/ \\sqrt{n}} \\\\\n\nZ = \\frac{35-30}{15 \/ \\sqrt{35}} = \\frac{5}{2.535} = 1.972"
Let use α=0.05
Reject H0 if "Z< -Z_{crit}"
"Z_{crit}= -1.96 \\\\\n\nZ=1.972 > Z_{crit}"
Accept H0. Can it be concluded that the mean charging time is NOT at most 30 minutes at 0.05 significance level.
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