A population has standard deviation o = 17.4.Part 1 of 2(a) How large a sample must be drawn so that a 99% confidence interval for u will have a margin of error equal to 4.1?Round the critical value to no less than three decimal places.Round the sample size up to the nearest integer.A sample size ofis needed to be drawn in order to obtain a 99% confidence intervalalowith a margin of error equal to 4.1.Part 2 of 2(b) If the required confidence level were 99.9%, would the necessary sample size be larger or smaller?because the confidence level is |(Choose one) ▼(Choose one) ▼higherlower1ll

Given that A population has standard deviation =17.4 (a) How large a sample must be drawn so that a…

Answered: A population has standard deviation o =…

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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Assume that a sample is used to estimate a population mean μ Find the 99% confidence interval for a sample ofsıze 60 with a mean of 60.1 and a standard deviation of 6.7. Enter your answer as an open-interval (i.e., parentheses) accurate to 3 decimal places. 99% CI = he answer should be obtained without any preliminary rounding,
A Supplementary Exercise 4.2A 1. The number of text messages received by Sofia in one day follows a normal distribution with a mean of 15. She investigated a random sample of 30 days duration and observed the sample mean of 15 and standard deviation of 4. Construct a 99% confidence interval for the mean. Chapter 4: Estimation of Parameters Page 105
Paint manufacture: Two methods are being considered to increase production of a paint manufacturing process. In a random sample of 63 days, the mean daily production using the first method was 645 tons with a standard deviation of 48 tons. In a random sample of 64 days, the mean daily production using the second method was 630 tons with a standard deviation of 41 tons. Part: 0 / 2 Part 1 of 2 (a) Construct a 99.8% confidence interval for the difference in mean daily production between the two methods. Let u, denote the mean daily production using the first method. Use the table to find the critical value and round the answers to the nearest whole number. A 99.8% confidence interval for the difference in mean daily production between the two methods, in tons, is NOV 22 MacBook Air 888 FB F5 F6 F2 F3 F4 %23 2$ % & 4 5 7 9
Part 1 of 3: A company was checking the number cars that parked in their lot each day and they estimated the population standard deviation was 1.6 cars. A sample of 45 days found that the mean number of cars was 13.2. Find 3-decimal small value of the 90% confidence interval of the mean. Part 2 of 3: Find 3-decimal large value of the 90% confidence interval of the mean. Part 3 of 3: What is the 3-decimal margin of error?
A study is going to be conducted in which a mean of a lifetime of batteries produced by a certain method will be estimated using a 90% confidence interval. The estimate needs to be within +/- 2 hours of the actual population mean. The population standard deviation σ is estimated to be around 25 hours. The necessary sample size should be at least _______. 21 923 100 35 423
Drill lifetime: A sample of 50 drills had a mean lifetime of 12.01 holes drilled when drilling a low-carbon steel. Assume the population standard deviation is 6.49. Part: 0/ 3 Part 1 of 3 (a) Construct a 95% confidence interval for the mean lifetime of this type of drill. Use tables or technology. Round your answers to at least two decimal places. The confidence interval is ( D. NOV G W MacBook Air 80 888 DII F9 F10 F2 F3 F4 F5 F6 F7 F8
Construct a confidence interval for the A) population variance and the b) population standard deviation
Find the critical value t/α2 needed to construct a confidence interval of the given level with the given sample size. Round the answer to at least three decimal places. Level 95%, sample size 9. Critical value =
Drill lifetime: A sample of 50 drills had a mean lifetime of 12.05 holes drilled when drilling a low-carbon steel. Assume the population standard deviation is 6.56. Part 1 of 3 (a) Construct a 95% confidence interval for the mean lifetime of this type of drill. Use tables or technology. Round your answers to at least two decimal places. OD- The confidence interval is Part 2 of 3 (b) The manufacturer of the drills claims that the mean lifetime is greater than 13. Does this confidence interval contradict this claim? (Choose one) ▼ the confidence interval (Choose one) v values greater than 13, so the claim (Choose one) V contradicted.
8.1 Confidence Interval 1. Crop researchers are interested in the productivity of a new variety of corn. They plant 25 plots with randomly selected seeds of the new variety, record the yield in bushels per acre, and find that a 99% confidence interval for the true mean yield is 118 to 130 bushels per acre. (a) Interpret the confidence interval. (b) What is the point estimate that was used to create the interval? What is the margin of error? (c) Interpret the confidence level. (d) Based on the research, a marketer tells a possible customer that with this new variety of corn they can expect to receive more than 130 bushels per acre, on average. Use the confidence interval to evaluate this statement.
Thunderstorm Speeds A meteorologist who sampled 10 thunderstorms found that the average speed at which they traveled across a certain state was 12 miles per hour. The standard deviation of the sample was 2.2 miles per hour. Use a graphing calculator and round the answers to at least one decimal place. Part 1 of 2 Find the 85% confidence interval of the mean. Assume the variable is normally distributed. 10.9 < u < 13.1 Part: 1/ 2 Part 2 of 2 If a meteorologist wanted to use the highest speed to predict the times it would take storms to travel across the state in order to issue warnings, what figure would she likely use? The meteorologist should use miles per hour for the prediction.
EStimation and Hypothesis Testing 3. A random sample of 17 wolf litters in Ontario, Canada, gave an average of x1 = 4.9 wolf pups per litter, with estimated sample standard deviation s = 1.0. Another random sample of 6 wolf litters in Finland gave an average of x2 * litter, with sample standard deviation s2 = 1.2. = 2.8 wolf pups per a. Find an 85% confidence interval for u, - U2, the difference in population mean litter size between Ontario and Finland b. Examine the confidence interval and explain what it means in the context of the problem. Does the interval consist of numbers that are all positive, all negative, or different signs? At the 85% level of confidence, does it appear that the average litter size of wolf pups in Ontario is greater than the average litter size in Finland?

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