Let S denotes the sum for a random sample of size 95.
Since sample size is large enough ( > 30), we can approximate the sampling distribution of sample sum by normal distribution.
According to empirical rule,
95% values of a normal distribution will lie between (mean - 2*standard deviation, mean + 2*standard deviation)
So, (100 - 95) % = 5% values of a normal distribution will lie outside the interval (mean - 2*standard deviation, mean + 2*standard deviation)
Hence,
Percent of values will be above than mean + 2*standard deviation = 5/2 = 2.5%
The probability that sum is two standard deviations above the mean of the sums = 0.025 (ans)
Question 3 0/1 pt: An unknown distribution has a mean of 80 and a standard deviation...
An unknown distribution has a mean of 80 and a standard deviation of 12. A sample size of 95 is drawn randomly from the population. Find the sum that is 1.5 standard deviations below the mean of the sums.
Question 6 2 pts An unknown distribution has a mean of 80 and a standard deviation of 13. Samples of size n-35 are drawn randomly from the population. Find the probability that the sample mean is between 82 and 92. (round to 4 decimal places) Example page 397 Wk6Hw_SmpMean 1
need help with question 11 if 500 newborn rirphants are weighed instead of 50, it means the same sie has increased as sample size increases the variability in the sample mean decreases, also the interval size decreases Question 10 (5 points) An unknown distribution has a mean of 80 and a standard deviation of 12. A sample size of 95 is drawn randomly from the population. Find the sum that is two standard deviations above the mean of the sums....
Question 5 2 pts An unknown distribution has a mean of 75 and a standard deviation of 18. Samples of size n-30 are drawn randomly from the population. Find the probability that the sample mean is between 80 and 85. (round to 4 decimal places) Example page 397 Wk6Hw_Smp Mean3
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