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In a poll of 553 voters in a certain city, 64% said the back a bill which would limit growth and development in their city. The margin of error in the poll was reported as 4 percentage points (with a 95% degree of confidence). Which statement (s) is (are) correct
A) The reported margin of error is consistent with the sample size.B) The sample size is too small to achieve the stated margin of error.C) The sample size is too large to achieve the stated margin of errorD) For the given sample size, the margin of error should be smaller than statedE) There is not enough information to determine whether the margin is consistent with the sample size.
The quantity C=4 refers to the fact that four of these data values were affirmative. Given this, then how would C=4 be classified?
Describe different methods of establishing correlation between variables and provide an example of each. Discuss the advantages and disadvantages of each method and where each must be applied.
Community policing strategies have been useful in some jurisdictions to reduce crime. As Police Captain, you wish to run an experiment to see whether it will work in your city.
Calculate a 95% confidence interval for the average lifetime of the washing machines that the company uses. Calculate the sample size required to reduce the margin of error for a 95% confidence interval down to 7 (i.e. E = 7).
Visa Card USA studied how frequently young consumers, ages 18 to 24, use plastic cards in making purchases. The results of the study provided the following probabilities.
A sample of waterfall heights in Hawaii show that the average height is 261.5 feet with a standard deviation of 13.76 feet.
Solve for the following items: The point on the x-axis that is equidistant (equal distance)from (10,4) and (6,2).
A random variable X that has pmf given by p(x) = 1/ (n+1) over the range Rx = {0,1,2,...,n} is said to have a discrete uniform distribution. Find the mean and variance of this distribution.
A second sample of 61 has a mean of 100 and a population standard deviation of 8. Conduct a z-test about a difference in sample means using a 0.03 significance level and the following hypotheses.
Give a brief description of a real-world example in which one measure of central tendency provides useful information while another measure of central tendency provides meaningless (or even misleading) information.
Can the formal hypothesis testing approach be used for nonparametric tests? How are parametric and nonparametric statistics different?
Probabilities can be approximated by the normal probability distribution? Explain What is the probability of between 100 and 110 successes? What is the probability of 130 or more succeses?
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