Score: 36.6/100 14/25 answered• Question 24Suppose the true proportion of voters in the county who support a new fire district is 0.54. Consider thesampling distribution for the proportion of supporters with sample size n = 131.What is the mean of this distribution?What is the standard error of this distribution?பமmt CuestiomWsearch,

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Answered: Suppose the true proportion of voters…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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A polling firm called 1,000 likely voters to ask about their political preferences. Of those polled, 520 indicated that they would vote for the incumbent candidate. Determine the point estimate for the proportion of voters in the election district who will vote for the incumbent. What is the sampling distribution for p in this example? Approximately how many voters must be polled for a margin of error equal to .01, assuming a confidence level of 95%? Show your work.
What is the mean of the sampling distribution? (round to 3 decimal places)
Let'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…
Consider 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.
Suppose 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?
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Suppose 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.
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Suppose the true proportion of voters in the county who support a new fire district is 0.54. Consider the sampling distribution for the proportion of supporters with sample size n- 131. What is the mean of this distribution? What is the standard error of this distribution? rtmit Ouestion