In the US, the systolic blood pressure of a randomly selected patient has a normal distribution with a mean of 121 mmHg and a standard deviation of 10.1 mmHg. Let \( X \) be the systolic blood pressure of a randomly selected patient and let \( \overline{X} \) be the average systolic blood pressure of a random sample of size 40.1. Describe the probability distribution of \( X \) and state its parameters \( \mu \) and \( \sigma \):\[ X \sim \]- \(\mu = \) [input box]- \(\sigma = \) [input box]and find the probability that the systolic blood pressure of a randomly selected patient is between 92 and 128 mmHg.[Dropdown menu for selecting probability distribution](Round the answer to 4 decimal places)2. Use the Central Limit Theorem [Dropdown menu for selecting probability distribution]to describe the probability distribution of \( \overline{X} \) and state its parameters \( \mu_{\overline{X}} \) and \( \sigma_{\overline{X}} \). (Round the answers to 1 decimal place)\[ \overline{X} \sim \]- \(\mu_{\overline{X}} = \) [input box]- \(\sigma_{\overline{X}} = \) [input box]and find the probability that the average systolic blood pressure of a sample of 40 randomly selected patients is more than 125 mmHg.(Round the answer to 4 decimal places)

Answered: In the US, the systolic blood pressure…

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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