**Stock Prices** A random sample of stock prices per share (in dollars) is shown. Find the 80% confidence intervals for the variance and standard deviation for the prices. Assume the variable is normally distributed. Round the sample variance and final answers to three decimal places.Prices: 7.50, 75.37, 12.00, 28.37, 13.88, 26.69, 14.75, 46.12, 10.87, 40.25, 60.50, 28.00, 28.25, 6.94, 45.12 The image displays two mathematical inequalities involving sigma (σ) and sigma squared (σ²) with blank checkboxes for selection. 1. The first inequality is: - Left box < σ² < Right box2. The second inequality is: - Left box < σ < Right boxUsers are presumably meant to fill in these boxes with appropriate values or expressions to complete the inequalities. There are no graphs or diagrams in the image.

Answered: Image /qna-images/answer/e9f66fb7-c4bc-4992-b604-bd49429fedc4.jpg

Answered: Stock Prices A random sample of stock…

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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Indy s00 Qualifier Speeds The speeds in miles per hour of seven randomly selected qualifiers for the Indianapolis s00 (in 2012) are listed below. Estimate the mean qualifying speed with 99% confidence. Assume the variable is normally distributed. Use a graphing calculator and round the answers to at least two decimal places. 222.891 222.929 223.422 223.684 224.037 225.172 226.240 Send data to Excel
One of the events at field day was the long jump. The lengths of 20 jumps are shown. If the mean is 7.0 cm and the standard deviation is 0.8 cm, does the data appear to be normally distributed? Explain. 7.2 5.4 7.5 7.2 7.7 7.5 6.7 5.5 8.0 6.9 6.7 6.0 7.9 8.0 * 6.3 7.7 7.4 5.5 6.4 7.7 525
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 14 containers. Estimate the population standard deviation at a 90% level of confidence. 12.07 11.96 11.93 12.16 12.06 11.9 12.06 12.21 11.86 12.03 11.86 11.83 11.99 12.09 (Data checksum: 168.01) 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 90% confidence:Lower: Upper: c) Report your confidence interval for σσ: ( , )
Using the population data set below, calculate the range, standard deviation, and variance. If necessary, round to two decimal places. 64.8 68 51.2 67.2 51.4 61 64.4 70.8 82.8 71 66.2 55 59 73.6 67.4 58.8 83.6 55.6 58 74.6 Range: Standard Deviation: Variance:
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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: ( , )
Home Ownership Rates The percentage rates of home ownership for 6 randomly selected states are listed below. Estimate the population variance and standard deviation for the percentage rate of home ownership with 98% confidence. Round the sample variance and the final answers to two decimal places. 71.5 72.9 69.4 73.7 73.8 69.4 Send data to Excel 2 < 0 X <0 G
Standardized tests: In a particular year, the mean score on the ACT test was 22.3 and the standard deviation was 5.3. The mean score on the SAT mathematics test was 504 and the standard deviation was 100. The distributions of both scores were approximately bell-shaped. Round the answers to at least two decimal places. Find the z-score for an ACT score of 30.
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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 15 containers. Estimate the population standard deviation at a 80% level of confidence. 11.86 12.12 12.2 12.08 12.06 12.09 11.92 12.26 12.04 12.1 11.85 11.97 11.85 12 12.01 (Data checksum: 180.41) 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 80% 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 80% level of confidence. 12.08 12 12.1 11.98 12.1 12.09 11.91 12.01 11.95 12.12 12 12.1 11.97 11.95 12.07 12.1 11.96 12.02 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 χ2 critical values at 80% confidence:Lower: Upper: c) Report your confidence interval for σ: ( , )

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