Which of the following statements is not true regarding the normal distribution?There is only one mode.About 95% of the values fall within 2 standard deviations of the mean.It is appropriate for a dichotomous variable.O The mean equals the median. The mean length of stay for patients undergoing a certain surgicial procedure is 4 days with astandard deviation of 3.5 days. We select a sample of 40 patients. What is the probability theirlength of stay is less than 3 days?O 4649.0351.2857O .3859

Answered: Image /qna-images/answer/7a49b8fc-998d-4d64-9c5d-e174b48f1735.jpg

Answered: Which of the following statements is…

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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Which statement below is correct? a. Standard deviation should be used when calculating z for a single score, while standard error should be used when calculating z for a sample mean. b. When calculating z for a single score or for a sample mean, the standard error should be used. c. Standard error should be used when calculating z for a single score, while standard deviation should be used when calculating z for a sample mean. d. When calculating z for a single score or for a sample mean, the standard deviation should be used.
Compare the population variance to the mean of the sample variances. Choose the correct answer below. A. The population variance is equal to the square root of the mean of the sample variances. B. The population variance is equal to the mean of the sample variances. C. The population variance is equal to the square of the mean of the sample variances.
Suppose the weight of dogs is normally distributed with a mean of 35 pounds and a standard deviation of 5 pounds. What is the z-score for a dog weighing 34 lbs? Group of answer choices -0.2 0.2 0.98 -0.98 None of the above
Select all true statements below (Multiple or none can be true). With a large, representative sample, the histogram of the sample data will follow the normal curve closely. If two lists of numbers have exactly the same average of 50 and SD of 10, then the percentage of entries between 40 and 60 must be exactly the same for both lists. Half of a list of numbers is always below its average. The median and average of a list of numbers are not necessarily close together.
The average number of milligrams (mg)of cholesterol in a cup of certain brand of rice is 660 mg,the standard deviation is 35 mg.assume the variable is normally distributed .if a sample of 10 cups of ice cream is selected what is probable that the mean of the sample will be larger than 670 mg? Solution (Box your final answer)
Refer to the data set in the accompanying table. Assume that the paired sample data is a simple random sample and the differences have a distribution that is approximately normal. Use a significance level of 0.05 to test for a difference between the weights of discarded paper (in pounds) and weights of discarded plastic (in pounds). LOADING... Click the icon to view the data. In this example, μd is the mean value of the differences d for the population of all pairs of data, where each individual difference d is defined as the weight of discarded paper minus the weight of discarded plastic for a household. What are the null and alternative hypotheses for the hypothesis test? A. H0: μd≠0 H1: μd>0 B. H0: μd=0 H1: μd<0 C. H0: μd=0 H1: μd≠0 D. H0: μd≠0 H1: μd=0 Household Paper Plastic 1 6.44 8.40 2 7.72 3.86 3 3.27 0.63 4 9.19 3.74 5 14.33 6.43 6 11.08 12.47 7…
z Scores LeBron James, one of the most successful basketball players of all time, has a height of 6 feet 8 inches, or 203 cm. Based on statistics from Data Set 1 “Body Data” in Appendix B, his height converts to the z score of 4.07. How many standard deviations is his height above the mean?

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Which of the following statements is not true regarding the normal distribution? There is only one mode. About 95% of the values fall within 2 standard deviations of the mean. O It is appropriate for a dichotomous variable. The mean equals the median.