MATLAB: An Introduction with Applications
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ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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What are the mean and the standard deviation for the sampling distribution of the sample mean?
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- The living spaces of all homes in a city have a mean of 2150 square feet and a standard deviation of 360 square feet. Let ī be the meam living space for a random sample of 20 homes selected from this city. Find the mean of the sampling distribution of I. Enter an exact answer. mean of x = i square feet Find the standard deviation of the sampling distribution of x. Round your answer to one decimal place. standard deviation of x = i square feet Save for Laterarrow_forwardRandom samples of size 46 are drawn from a population with mean 161.9 and standard deviation 16.1. Find the mean and the standard deviation of the sample mean. Round to four decimal places.Mean = Standard Deviation = Enter your answer as a number accurate to 4 decimal places.arrow_forwardA population has a mean μ=139 and a standard deviation σ=24. Find the mean and standard deviation of the sampling distribution of sample means with sample size n=48.arrow_forward
- The distribution of sample means for bi-monthly employee income at a particular company for samples of 70 employees is normal with a mean of $5921 and a standard deviation of $219. You take a random sample of 70 employees from the company and find that their mean bi-monthly income is $5668. How many standard deviations is the sample mean from the mean of the distribution of sample means?arrow_forwardSuppose that we will randomly select a sample of 64 measurements from a population having a mean equal to 20 and a standard deviation equal to 4. Find the mean and the standard deviation of the sampling distribution of the sample mean . (Round your answer to 1 decimal place.)arrow_forwardP3. Show that the mle of unknown standard deviation when the mean is known is different from the sample standard deviation when the random sample is taken from a normal population characterized by two parameters, mean and variance. Which estimator is unbiased? Justify your answer. Show that a sample mean is a minimum variance unbiased estimator of the mean of a normal population with known variance.arrow_forward
- IF THE VARIANCE OF A POPULATION IS 0.75, THE STANDARD DEVIATION MUST BE?arrow_forwardhe average amount of time boys and girls spend playing sports each week is believed to be the same. A sample of equal size n is taken from boys and girls , the mean of the boys is 29 hours with standard deviation 4 hours and the mean of the girls is 27 hours with standard deviation 3 hours Both populations have a normal distribution. The calculated value is 1.2 n =arrow_forwardIf we meet these conditions, the sampling distribution of the mean will have a normal shape and ... The mean of the sampling distribution will be u, (i.e., the same as the population mean) and the standard deviation of the sampling distribution will be (that's the population standard deviation divided by the square root of the sample size). In the AP Stats Guy video, he talks about the number of text messages his students send during class. Suppose the average number of text messages his students send during class is u = 30 text messages. If we take samples of say, n = 36 students at a time, we would expect the mean of the sampling distribution we create to be the same as the population mean, 30 text messages. If we can further say that standard deviation of the number of text messages is 12 text messages, by how much would we expect the sample means to vary? (hint, use the formula above) text messagesarrow_forward
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