MATLAB: An Introduction with Applications
6th Edition
ISBN: 9781119256830
Author: Amos Gilat
Publisher: John Wiley & Sons Inc
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- a.True or False: There will be more dispersion in the sampling distribution of the sample mean than in the population. b. State the standard error of the mean:arrow_forwardRecent studies have shown that about 16% of American adults fit the medical definition of being obese. A large medical clinic would like to estimate what percentage of their patients are obese, so they take a random sample of 400 patients and find that 52 are obese. Suppose that in truth, the same percentage holds for the patients of the medical clinic as for the general population, 16%. Find the mean of the sampling distribution of p̂.arrow_forwardLet's examine the mean of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 by drawing samples from these values, calculating the mean of each sample, and then considering the sampling distribution of the mean. To do this, suppose you perform an experiment in which you roll an eight-sided die two times (or equivalently, roll two eight-sided dice one time) and calculate the mean of your sample. Remember that your population is the numbers 1, 2, 3, 4, 5, 6, 7, and 8. The true mean (µ) of the numbers 1, 2, 3, 4, 5, 6, 7, and 8 is , and the true standard deviation (o) is The number of possible different samples (each of size n = 2) is the number of possibilities on the first roll (8) times the number of possibilities on the second roll (also 8), or 8(8) = 64. If you collected all of these possible samples, the mean of your sampling distribution of means (µM) would equal and the standard deviation of your sampling distribution of means (that is, the standard error or ɑm) would be The following chart…arrow_forward
- Can you please explain to me a good example of what the mean of sampling distribution is?arrow_forwardConsider a binomial distribution. About 61% of all Salinas residents own a smart phone. Find the mean number of residents own a smart phone when selecting a sample of n = 53 residents.arrow_forwardSuppose the true proportion of voters in the county who support a school levy is 0.53. Consider the sampling distribution for the proportion of supporters with sample size n = 101.What is the mean of this distribution? What is the standard error of this distribution?arrow_forward
- Transforming an entire distribution of scores into z-scores will not change the shape of the distribution. a. True b. Falsearrow_forwardSuppose that 80% of apples are worm-free. Explain why it would not be unusual to find 84% of a simple random sample of 120 apples to be worm-free but it would be unusual to find 84% of a simple random sample of 480 apples to be worm-free. Use facts about the sampling distributions of sample proportions when n = 120 and when n = 480 to support your explanation.arrow_forward8. For a right-skewed distribution, which is greater: the mean or the median? Give a brief but specific explanation of your reasoning. Sketch a right-skewed distribution, labeling the mean and median for the distribution of a population.arrow_forward
- You roll 36 dice over and over. what is standard error of sampling distribution of x-bar (the mean)?arrow_forwardDescribe the sampling distribution of means. What is it used for?arrow_forwardSuppose the percentage of married couples who own a home is 33% for a given population. What is the standard error of the sampling distribution of proportions for the sample sizes n = 200, n = 300, and n = 400?arrow_forward
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