A factory manufacturing light-emitting diode (LED) bulb claims that their light bulbs last for 50,000 hours on the average. To confirm if this claim was valid, a quality control manager got a sample of 50 LED bulbs and obtained a mean lifespan of 40,000 hours. The standard deviation of the manufacturing process is 20,000 Do you think the claim of the manufacturer is valid at the 5% level of significance?
"\\bar{x}=40000 \\\\\n\ns=20000 \\\\\n\nn=50 \\\\\n\ndf=n-1=49 \\\\\n\n\u03b1=0.05 \\\\\n\nH_0: \\mu=50000 \\\\\n\nH_1: \\mu \u226050000 \\\\\n\nt_{crit}=2.095"
The rejection region for this two-tailed test is R={t:|t|>2.0095}
Test-statistic:
"t = \\frac{\\bar{x}- \\mu}{s\/ \\sqrt{n}} \\\\\n\nt = \\frac{40000-50000}{20000 \/ \\sqrt{50}} = -3.535 \\\\\n\n|t|=3.535>2.0095"
The null hypothesis is rejected.
There is enough evidence to claim that the population mean μ is different than 50000, at the 0.05 significance level.
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