The number of flaws per square yard in a type of carpet material varies with mean 1.4 flaws per square yard and standard deviation 1.2 flaws per square yard. This population distribution cannot be normal, because a count takes only whole-number values. An inspector studies 175 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. Use the central limit theorem to find the approximate probability that the mean number of flaws exceeds 1.5 per square yard. (Round your answer to four decimal places.)
Here we have
Since sample is large so according to central limit theorem sampling distribution of sample mean will be approximately normal with mean and SD as follows:
The z-score for is
The probability that the mean number of flaws exceeds 1.5 per square yard is
The number of flaws per square yard in a type of carpet material varies with mean...
The number of flaws per square yard in a type of carpet material varies with mean 1.2 flaws per square yard and standard deviation 1.2 flaws per square yard. This population distribution cannot be normal, because a count takes only whole-number values. An inspector studies 170 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. Use the central limit theorem to find...
The number of flaws per square yard in a type of carpet material varies with mean 1.4 flaws per square yard and standard deviation 1 flaws per square yard. This population distribution cannot be normal, because a count takes only whole-number values. An inspector studies 171 square yards of the material, records the number of flaws found in each square yard, and calculates x, the mean number of flaws per square yard inspected. Use the central limit theorem to find...