CNNBC recently reported that the mean annual cost of auto insurance is 1013 dollars. Assume the standard deviation is 175 dollars. You will use a simple random sample of 138 auto insurance policies. You may assume original population is approximatley normally distributed, and round your answers to three decimals. Find the probability that a single randomly selected policy has a mean value between 1026.4 and 1030.9 dollars. P(1026.4 < X < 1030.9) =
CNNBC recently reported that the mean annual cost of auto insurance is 1013 dollars. Assume the standard deviation is 175 dollars. You will use a simple random sample of 138 auto insurance policies. You may assume original population is approximatley normally distributed, and round your answers to three decimals. Find the probability that a single randomly selected policy has a mean value between 1026.4 and 1030.9 dollars. P(1026.4 < X < 1030.9) =
CNNBC recently reported that the mean annual cost of auto insurance is 1013 dollars. Assume the standard deviation is 175 dollars. You will use a simple random sample of 138 auto insurance policies. You may assume original population is approximatley normally distributed, and round your answers to three decimals. Find the probability that a single randomly selected policy has a mean value between 1026.4 and 1030.9 dollars. P(1026.4 < X < 1030.9) =
CNNBC recently reported that the mean annual cost of auto insurance is 1013 dollars. Assume the standard deviation is 175 dollars. You will use a simple random sample of 138 auto insurance policies. You may assume original population is approximatley normally distributed, and round your answers to three decimals.
Find the probability that a single randomly selected policy has a mean value between 1026.4 and 1030.9 dollars. P(1026.4 < X < 1030.9) =
Find the probability that a random sample of size n=138�=138 has a mean value between 1026.4 and 1030.9 dollars. P(1026.4 < M < 1030.9) =
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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