10 In developing an interval estimate for a population mean, the population standard deviation o was...
Please show the process 6. In developing an interval estimate for a population mean, the population standard deviation σ was assumed to be 10. The interval estimate was 50.92 2.14. Had ơ equaled 20, the interval estimate would be a. 60.92 t 2.14 b. 50.92 12.14 c. 101.84 4.28 d. 50.92t 4.28 7. If the confidence level is reduced, the confidence interval a. widens. b. remains the same. C. narrows. d. disappears. 8. The zal value for a 95% confidence...
10. Fill in the blank. In developing a 96% confidence interval estimate for some normal population mean μ, the population standard deviation σ was 10, The interval estimate was found to be 12.6 ±3.64. Had σ equaled 5, the interval estimate would be 12. Based on a sample of size n 21 drawn from a normal population, the sample mean and sample standard deviation are, respectively, 15.68 and 1.36. We use T-test to test Ho : μ 15 vs H1...
Please give explanation................................................. Multiple Choice. Select the best response 1. An estimator is said to be consistent if a. the difference between the estimator and the population parameter grows smaller as the sample b. C. d. size grows larger it is an unbiased estimator the variance of the estimator is zero. the difference between the estimator and the population parameter stays the same as the sample size grows larger 2. An unbiased estimator of a population parameter is defined as...
Question 51 - Part a-c The interval estimate 18.5±2.5 is developed for a population mean in which the sample standard deviation s is 7.5. Had s equaled 15 instead, the interval estimate would be 37±5.0. a. True b. False In order to construct a confidence interval estimate of the population mean μ, the value of μ must be given. a. True b. False In general, increasing the confidence level will narrow the confidence interval, and decreasing the confidence level widens...
QUESTION 6 Find the 95% interval estimate given the following information: the population standard deviation is 4, the sample mean is 18, and the sample size is 20." O 0.16 to 0.19. 1.75 16.13 to 19.87 O 16.25 to 19.75.
A sample of 49 observations is taken from a normal population with a standard deviation of 10. The sample mean is 55. Determine the 99% confidence interval for the population mean. (Round your answers to 2 decimal places.) Confidence interval for the population mean is _______ and _______ .A research firm conducted a survey to determine the mean amount Americans spend on coffee during a week. They found the distribution of weekly spending followed the normal distribution with a population standard deviation...
Question 3 [Points 6]. Topic: Two sided Confidence Interval estimate on population standard deviation The weights of 22 randomly selected eggs have a sample mean of 1.78 oz and a standard deviation, s, of 0.42 oz. a) Determine the 95% 2-sided confidence interval for the standard deviation, o, of the weights of all eggs. Choose an answer from the below choices. A. 0.34 to 0.57 oz C. 0.32 to 0.60 oz B. 0.32 to 0.58 oz D. 0.33 to 0.55...
4. Interval estimation of a population mean, population standard deviation unknown The Business Environment and Enterprise Performance Survey (BEEPS), developed by the European Bank for Reconstruction and Development and the World Bank, is a survey of more than 4,000 firms in 22 transition countries. Conducted in 2000, BEEPS gathered information on the impediments to business growth in transition countries. As part of BEEPS, firms answered the question, "How many days does it take to transfer money through the financial system...
Construct a 95% confidence interval for the population standard deviation o of a random sample of 15 men who have a mean weight of 165.2 pounds with a standard deviation of 13.5 pounds. Assume the population is normally distributed.
The point estimate of the population mean is $62,339. Sample size 350. Standard deviation 19331.91502 Construct a 99% confidence interval for the population mean. Assume that your data is normally distributed and σ is unknown.