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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. 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

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. 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

MATLAB: An Introduction with Applications
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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**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. Data: - 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 ### Explanation: The data set is a collection of stock prices. Using this data, the goal is to compute the 80% confidence intervals for both the variance and the standard deviation. A normally distributed variable assumption is made to proceed with calculating these statistical measures. It involves statistical reasoning to determine how much these stock prices vary and establish an interval that likely contains the true variability and deviation within the confidence level given.
Transcribed Image Text:**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. Data: - 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 ### Explanation: The data set is a collection of stock prices. Using this data, the goal is to compute the 80% confidence intervals for both the variance and the standard deviation. A normally distributed variable assumption is made to proceed with calculating these statistical measures. It involves statistical reasoning to determine how much these stock prices vary and establish an interval that likely contains the true variability and deviation within the confidence level given.
The image appears to be a multiple-choice question format with the following options: 1. Option 1: - Mathematical inequality: \( < a^2 \) - Checkbox to the right of the inequality. 2. Option 2: - Mathematical inequality: \( < a < \) - Checkbox to the right of the inequality. This setup likely involves choosing the correct inequality expression applicable to a given problem in a mathematics lesson. The checkboxes suggest that users can select one or more options as their answer.
Transcribed Image Text:The image appears to be a multiple-choice question format with the following options: 1. Option 1: - Mathematical inequality: \( < a^2 \) - Checkbox to the right of the inequality. 2. Option 2: - Mathematical inequality: \( < a < \) - Checkbox to the right of the inequality. This setup likely involves choosing the correct inequality expression applicable to a given problem in a mathematics lesson. The checkboxes suggest that users can select one or more options as their answer.
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