12) The nonparametric test for two population medians under independent sampling is known asA) Wilcoxon signed-rank testB) Wilcoxon rank-sum testC) Kruskal-Wallis testD) Wald-Wolfowitz runs test13) The nonparametric test for the correlation between two variables is known as theA) Wilcoxon signed-rank testB) Wilcoxon rank-sum testC) Kruskal-Wallis testD) Spearman's rank correlation test14) The nonparametric test for ordinal data based on matched-pairs sampling is theA) Wilcoxon signed-rank testB) Wald-Wolfowitz runs testC) the sign testD) Spearman's rank correlation test15) The nonparametric test to determine if a sequence is random isA) Wilcoxon signed-rank testB) Wald-Wolfowitz runs testc) the sign testD) Spearman's rank correlation test16) For the Wald-Wolfowitz runs test with n 2 10 and n2 2 10, the sampling distribution of thetest statistic R can be approximated by the normal distribution with mean ofA) HR12B) HR+ 12(n1 +12 + 1)C) HRD) PR""1, 12+1217) For the Wald-Wolfowitz runs test with n1 2 10 and n2 2 10, the sampling distribution of thetest statistic R can be approximated by the normal distribution with standard deviation2 n2(2n12 - n)A) ORn(n - 1)

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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1. (No computer output is accepted) The running time of films of a company (in minutes) has a normal distribution with a mean of 120 mins and a variance of 9 mins?. a) Calculate the probability that a randomly selected film has a running time less than 110 minutes. b) Calculate the probability that a randomly selected film has a running time greater than 125 minutes. c) Calculate the probability that a randomly selected film has a running time between 115 minutes and 127 minutes.
Q2. Under imperfect multicollinearity, A) the OLS estimator is biased even in samples of n > 100. B) the error terms are highly, but not perfectly correlated. C) the OLS estimator cannot be computed. D) two or more of the control variables are highly correlated.
The World Health Organization reports that the distribution of ages at time of death in the United States has mean u of 79.8 years and a standard deviation o of 15.5 years, based on death certificates. The distribution of ages at time of death is obviously left-skewed. Researchers plan to take a random sample of 100 American death certificates. a)What are the mean and standard deviation of the sampling distribution of the mean age at death, x̄, for samples of 100 American death certificates? b) Explain why the sampling distribution of x̄ is approximately Normal. c) What is the probability that the mean age at time of death in a random sample of 100 American death certificates will be less than 78 years?
MEAN AND VARIANCE OF SAMPLING DISTRIBUTION OF SAMPLE MEANS 1.) When sample of size 9 are taken with replacement from the population 7,6,6,6,4,4,3,1,1 and 1. Determine the mean, variance, and standard deviation of each.
10) A simple random sample of 20 credit ratings is obtained with a mean 660 and a standard deviation 96. Using a 0.01 significance level, test the claim that these credit ratings are from a population with a mean equal to 700.
7. In the data set of 5 numbers (1, 3, 5, 7, 9), find: (4 points) 1) median = %3D 2) mean 3) average deviation 4) variance 5) standard deviation 6) Z2 = 7) Z3 = 8) Z5 =
The heights of adult females are normally distributed. If you were to construct a histogram of 40 randomly selected women, what shape would the histogram of those heights have and what pattern would you expect in a normal quantile plot of these data? A) The histogram would be approximately bell-shaped, and the normal quantile plot would have data points have follow a straight-line pattern. B) The histogram would by approximately bell-shaped, and the normal quantile plot would have data points that would be bell-shaped. C) The histogram would by non-symmetric, and the normal quantile plot would have data points that would be non-linear. D) The histogram would by approximately bell-shaped, and the normal quantile plot would have data points that would be non-linear.
6. The diameter of steel rods manufactured on two different extrusion machines is being investigated. Two random samples of size n, =15 and n, =15 are selected, and the sample means are 8.69cm and 8.51cm and sample variances are 0.30 and 0.44, respectively from Machine 1 and Machine 2. Construct 95% confidence interval for difference between means diameter of steel rods manufactured by Machine 1 and Machine 2.
If the data normalization process is carried out on a dataset, which of the following statements is correct: a) The correlation value between variables will not change b) The covariance value between variables will not change c) The average value of each variable will not change d) The standard deviation value for each variable will not change
a) The time a patient must wait before being attended by a physician in a hospital has been observed for each of 100 randomly selected patients. The sample mean is 70.3 minutes and the standard deviation is 28.2 minutes. Test the hypothesis that the mean waiting time in the hospital is not more than 65 minutes. Use b) The mean operating temperature of a heat sensing device is claimed to be A simple random sample of 16 devices has mean. land standard deviation Can it be concluded at the 001 level of significance that the mean operating temperature is higher than Selution#2' (te be tur ed Bore by the otudont)
Choose the correct alternative hypothesis for the following situations. Check the circle. The null hypothesis is given. a) An ambulance service is considering replacing its ambulances with new equipment. If $52.00 is the average weekly maintenance cost of one of the old ambulances and u is the average weekly maintenance cost it can expect for one of the new ones, what alternative hypothesis should it use if it wants to buy the ambulances only if it can be shown that this will significantly reduce the average weekly maintenance cost? Ho:H = $52.00/week O H:H> $52.00/week o H:µ $52.00/week o H:H 0.18 o H:p 10 cm o H:H<10 cm o H:u # 10 cm

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