A factory manufacturing light-emitting diode (LED) bulbs claims that their light bulb lastfor 50 000 hours on the average. To confirm its this claim is valid, a quality control manager got a sample of 50 LED bulbs and obtained a life span of 40 000 hours. The standard deviation of the manufacturing process is 1 000 hours. Do you think the claim of the manufacturer is valid at the 5% level of significance?
"\\bar{x}=40000 \\\\\n\ns=1000 \\\\\n\nn=50 \\\\\n\ndf=n-1=49 \\\\\n\n\u03b1=0.05 \\\\"
The hypotheses tested are,
"H_0: \\mu=50000 \\\\vs\\\\\n\nH_1: \\mu \u226050000 \\\\"
The critical value is,
"t_{{\\alpha\\over 2},df}=t_{0.025,49}= 2.009575"
The rejection region for this two-tailed test is R={t:|t|>2.009575}
Test-statistic:
"t = \\frac{\\bar{x}- \\mu}{s\\over \\sqrt{n}} \\\\\n\nt = \\frac{40000-50000}{1000 \\over \\sqrt{50}} = -70.711 \\\\\n\n|t|=70.711>2.009575"
The null hypothesis is rejected.
Therefore, there is enough evidence to claim that the population mean is different than 50000, at the 0.05 significance level.
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