The life in hours of a battery is known to be approximately normally distributed, with standard deviation o = 1.25 hours. A random sample of 10 batteries has a mean life of I = 40.5 hours. (a) Is...


The life in hours of a battery is known to be approximately normally distributed, with standard deviation o = 1.25 hours. A random<br>sample of 10 batteries has a mean life of I =<br>40.5 hours.<br>(a) Is there evidence to support the claim that battery life exceeds 40 hours? Use a = 0.035.<br>The battery life<br>significantly different greater than 40 hours at a = 0.035.<br>(b) What is the P-value for the test in part (a)?<br>P-value =<br>i<br>Round your answer to three decimal places (e.g. 98.765).<br>(c) What is the B-error for the test in part (a) if the true mean life is 42 hours?<br>B =<br>i<br>Round your answer to five decimal places (e.g. 98.76543).<br>(d) What sample size would be required to ensure that ß does not exceed 0.1 if the true mean life is 44 hours?<br>i<br>batteries<br>

Extracted text: The life in hours of a battery is known to be approximately normally distributed, with standard deviation o = 1.25 hours. A random sample of 10 batteries has a mean life of I = 40.5 hours. (a) Is there evidence to support the claim that battery life exceeds 40 hours? Use a = 0.035. The battery life significantly different greater than 40 hours at a = 0.035. (b) What is the P-value for the test in part (a)? P-value = i Round your answer to three decimal places (e.g. 98.765). (c) What is the B-error for the test in part (a) if the true mean life is 42 hours? B = i Round your answer to five decimal places (e.g. 98.76543). (d) What sample size would be required to ensure that ß does not exceed 0.1 if the true mean life is 44 hours? i batteries

Jun 03, 2022
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