Confidence Intervals for Standard Deviation and Variance Use the data below to construct a 95% confidence interval for the standard deviation and variance for home sale prices in Beavercreek (in thousands of dollars) 114.1 240.7 170.9 116.4 160.8 227.2 293.3 217.5 293.4 278.2 227.3 306.8 185.9 194.5 299.9 159 270.3 272.6 221.4 146.7 239.4 342.2 212.6 226.9 Use the Estimation of Variance and SD tab. Begin by entering the data starting in the yellow A19 field. Use the results (green) for standard deviation s and sample size n to complete the values beginning in B3 to B5. For B5, enter the confidence level as a decimal not a percentage.

Confidence Intervals for Standard Deviation and Variance Use the data below to construct a 95% confidence interval for the standard deviation and variance for home sale prices in Beavercreek (in thousands of dollars) 114.1 240.7 170.9 116.4 160.8 227.2 293.3 217.5 293.4 278.2 227.3 306.8 185.9 194.5 299.9 159 270.3 272.6 221.4 146.7 239.4 342.2 212.6 226.9 Use the Estimation of Variance and SD tab. Begin by entering the data starting in the yellow A19 field. Use the results (green) for standard deviation s and sample size n to complete the values beginning in B3 to B5. For B5, enter the confidence level as a decimal not a percentage.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

I need help on my homework
Use the standard normal distribution or the t-distribution to construct a 90% confidence interval for the population mean. Justify your decision. If neither distribution can be used, explain why. Interpret the results. In a random sample of 40 people, the mean body mass index (BMI) was 26.6 and the standard deviation was 6.13.
The frequency distribution of scale categories for a 7-point off- flavor scale follows: Category Frequency 1 (none) 75 86 3 93 4 74 5 60 6 36 7 (very strong) 21 1. What is the rational origin of the foregoing 7-point scale? 2. Scale the categories using Guilford's method and interpret the results. Also find Guilford's adjusted scores. Detemine the mean and the standard deviation of the estimated category scale. 3.
You work for a soft-drink company in the quality control division. You are interested in the standard deviation of one of your production lines as a measure of consistency. The product is intended to have a mean of 12 ounces, and your team would like the standard deviation to be as low as possible. You gather a random sample of 16 containers. Estimate the population standard deviation at a 90% level of confidence. 11.98 12.11 11.88 11.99 11.89 12.02 11.84 12.05 12.13 11.94 12.31 12 12.07 12.02 12.04 12.04 (Data checksum: 192.31) Keep as many decimals as possible while making these calculations. a) Find the sample standard deviation: b) Find the lower and upper χ2χ2 critical values at 90% confidence:Lower: Upper: c) Report your confidence interval for σσ: (? , ? )
You work for a soft-drink company in the quality control division. You are interested in the standard deviation of one of your production lines as a measure of consistency. The product is intended to have a mean of 12 ounces, and your team would like the standard deviation to be as low as possible. You gather a random sample of 18 containers. Estimate the population standard deviation at a 98% level of confidence. 11.98 11.99 11.96 12.09 11.79 11.96 11.87 12.1 12.16 12.03 12.04 12.11 12.12 12.15 11.95 12.23 11.95 12.12 (Data checksum: 216.6) Note: Keep as many decimals as possible while making these calculations. If possible, keep all answers exact by storing answers as variables on your calculator or computer. a) Find the sample standard deviation: b) Find the lower and upper χ2χ2 critical values at 98% confidence:Lower: Upper: c) Report your confidence interval for σσ: ( , )
A STATISTICS PROFESSOR IS REVIEWING GRADES TREAT THE SCHEDULE AS UNGROUPED DATA GRADE 86 76 96 86 92 82 74 76 85 81 88 GRADE 90 86 76 74 85 92 85 76 83 84 95 SOLVE FOR UNGROUPED DATA- MEASURES OF CENTRAL TENDENCY, QUARTILES. SAMPLE STANDARD DEVIATION RANGE INTERQUARTILE RANGE SOLVE BOTH WAYS
You work for a soft-drink company in the quality control division. You are interested in the standard deviation of one of your production lines as a measure of consistency. The product is intended to have a mean of 12 ounces, and your team would like the standard deviation to be as low as possible. You gather a random sample of 17 containers. Estimate the population standard deviation at a 95% level of confidence. 11.94 11.99 11.97 11.95 11.85 12.1 12.07 12.16 12.13 12.1 12.01 12.1 11.95 12 11.93 11.96 12.1 (Data checksum: 204.31) Note: Keep as many decimals as possible while making these calculations. If possible, keep all answers exact by storing answers as variables on your calculator or computer. Round final answer to 4 decimal places. a) Find the sample standard deviation: b) Find the lower and upper x² critical values at 95% confidence: Lower: Upper: c) Report your confidence interval for o: (
4.753, 4.375, 4.177, 4.677, 4.425, 4.227, 4.122, 4.250, 3.953, 4.195, 4.293, 4.413 An 80% confidence interval for the mean rate is
help with homework
Detecting gypsy moths The gypsy moth is a serious threat to oak and aspen trees. A state agriculture department places traps throughout the state to detect the moths. Each month, an SRS of 50 traps is inspected, the number of moths in each trap is recorded, and the mean number of moths is calculated. Based on years of data, the distribution of moth counts is discrete and strongly skewed with a mean of 0.5 and a standard deviation of 0.7. a. Explain why it is reasonable to use a Normal distribution to approximate the sampling distribution of for SRSS of size 50. b. Estimate the probability that the mean number of moths in a sample of size 50 is greater than or equal to 0.6. c. In a recent month, the mean number of moths in an SRS of size 50 was = 0.6. Based on this result, is there convincing evidence that the moth population is getting larger in this state? Explain your reasoning.
The ages of undergraduate students at two universities (one in the east and one in the west) are being compared. Researchers want to know if there is a difference in the mean age of students at the two universities. The population standard deviations are known. The following data shows the results of samples collected at each institution: School Location n (sample size) sample mean ( ) population standard deviation West 33 25.78 6.29 East 35 23.16 7.52 What is the value of the test statistic for the previous problem? (Enter your answer as a positive value even if you calculated a negative test statistic value i.e. if you calculated -1.311 you should enter 1.311). Round your answer to 3 decimal places.
Also need... Find standardized test statistic Find P Value Reject or fail to reject & is or is not enough evidence