Which of the following is the correct interpretation of a 93% confidence interval such as0.25 < p< 0.58?O a. We are 93% confident that the interval from o.25 to 0.58 will contain the true value of p.O b. 93% of all data values fall between o.25 and o.58.O c. There is a 93% chance that p will fall between o.25 and o.58.O d. 93% of the population proportions fall between o.25 and o.58.

We have given that, Which of the following is the correct interpretation of 93 % confidence…

Answered: Which of the following is the correct…

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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8. A 96% confidence interval for the proportion of the labor force that in unemployed in a certain city is (0.07, 0.10). Which of the following statements about this interval is true? a. The probability is 0.96 that between 7% and 10% of the labor force is unemployed. b. About 96% of the intervals constructed by this method will contain the true proportion of unemployed in the city. In repeated samples of the same size, there is a 96% chance that the sample proportion will fall between 0.07 and 0.10. d. The true rate of unemployment lies within this interval 96% of the time. e. Between 7% and 10% of the labor force is unemployed 96% of the time. Normally distributed with a
6. a. fine the margin of error for the given values of c, s and n c=0.98, s=6, n=9 b. Find the margin of error for the given values of c, s and n. c=0.98, s=2.8, n=25 c. construct the indicated confidence interval for the population mean u using the t-distribution. Assume the population is normally distributed. c=0.99, x=14.5,s=3.0,n=9 d. construct the indicated confidence interval for the population mean u using the t-distribution. Assume the population is normally distributed. c=0.99, x=14.4, s=0.66, n=15
10. Which one of the following statements about confidence intervals is false? A. Given the same sample of data, a 90% confidence interval will be narrower than a 95% confidence interval. B. The size of the population does not affect the width of a confidence interval. C. The population proportion determines the center of the confidence interval. D. The value of z* affects the width of a confidence interval. E. The general format of a confidence interval is “sample statistic ± margin of error.”
A laboratory tested 85 chicken eggs and found that the mean amount of cholesterol was 191 milligrams. Assume that o = 16.2 milligrams. Construct a 95% confidence interval for the true mean cholesterol content, µ, of all such eggs. Round to one decimal place. O A. 186.9 to 195.1 milligrams B. 186.5 to 195.5 milligrams C. 188.1 to 193.9 milligrams D. 187.6 to 194.4 milligrams
Which of the following is the correct interpretation of a 90% confidence interval such as 0.15 < p < 0.56? a. 90% of all data values fall between o.15 and o.56. O b. We are 90% confident that the interval from o.15 to o.56 will contain the true value of p. c. 90% of the population proportions fall between o.15 and o.56. O d. There is a 90% chance that p will fall between o.15 and o.56.
Answer all parts of number 2 and show your work.
.Explain the meaning of the (a) Do the data indi region is higher than that in New England? Use a = (b) Find a 98% confidence interval for u confidence interval in the context of the problem. ain 0.01. H. Explain the meaning of the 16. Medicine: Hay Fever A random sample of n. Kansas gave the following information for people under 25 years of ace 16 communities in western %3D 1 : Rate of hay fever per 1000 population for people under 25 x,: 120 128 92 123 112 93 98 90 127 88 125 95 125 117 97 122 14 regions in western Kansas gave the following A random sample of n, information for people over 50 years old:
12.1.50 Question Help A poll of 1070 adults in a country was conducted by telephone. Of those surveyed, 173 had experienced the death of at least one family member or close friend within the last 10 years who died after the removal of life support. Find and interpret a 90% confidence interval for the proportion of all adults in the country who had experienced the death of at least one family member or close friend within the last 10 years after life support had been withdrawn. Click here to view page 1 of the table of areas under the standard normal curve. Click here to view page 2 of the table of areas under the standard normal curve. The 90% confidence interval is from to. (Round to three decimal places as needed.)
Today Five Years Ago 82 88 112.5 54 45 36 The 95% confidence interval for the difference between the two population means is Select one: O a. -13.84 to 1.84 O b.-3.92 to 3.92 O C. -24.228 to 12.23 O d. -9.92 to -2.08 Next page qe
I 4. The numbers below represent the weekly time (in hours) that a random sample of college football players spent lifting weights. 7.4, 5.8, 7.3, 7, 8.9, 9.4, 8.3, 9.3, 6.9, 7.5, 9, 5.8, 5.5, 8.6, 9.3, 3.8 a. Construct, by hand, a 99% confidence interval of the mean weekly time college football players spend lifting weights. b. Interpret your confidence interval in context of the problem.

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Which of the following is the correct interpretation of a 93% confidence interval such as 0.25