**Emergency Room Waiting Time Analysis**As a healthcare analytics professional at Pawhuska, Oklahoma's fourth-largest hospital, your role involves evaluating the waiting times for patients classified as ES5. These patients present with non-life-threatening conditions in the emergency room. The goal is to determine if the average ES5 patient wait time exceeds the industry standard of 18 minutes.**Data Summary:**- **Sample Size:** 22 ES5 patients- **Average Waiting Time:** 19.2 minutes- **Standard Deviation:** 2.4 minutes**Objective:**- Use the Critical Value Approach with 99% confidence to assess if the mean waiting time is significantly longer than the industry standard.**Hypothesis Testing:**1. **Null Hypothesis (H0):** The mean waiting time is 18 minutes.2. **Alternative Hypothesis (H1):** The mean waiting time is greater than 18 minutes.**Critical Value Approach:**Determine the critical value corresponding to a 99% confidence level and apply it to the sample data to draw conclusions about the mean waiting time.**Additional Analysis:**Evaluate the probability that no procedural changes are necessary, assuming the actual mean wait time is 20 minutes. This assesses whether current wait times are acceptable or if improvements are needed.

Let X be the ES5 waiting time.Make some changes to the emergency room if mean waiting time is longer…

Answered: You're a healthcare analytics…

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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