Author: Anonymous

What do we call the nose of a whale?

In this animal both the males and females have tusks?

This group shows asymmetry? 

How many chambers does a fish have to its heart?

Internal reliability audits show the following historical likelihoods of a late shipment for each carrier:P(Late | MediShip) = 0.05P(Late | QuickRx) = 0.10P(Late | PharmaFly) = 0.25 Market share (prior probabilities) for shipments:P(MediShip) = 0.40P(QuickRx) = 0.30P(PharmaFly) = 0.30A hospital administrator calls to report a shipment is Late. Given that the shipment is Late, what is the probability it was carried by PharmaFly?

Case Study 1: GlobalMed Surgical Supply Chain You are the Operations Director for “GlobalMed,” a distributor of critical surgical kits to hospitals. In the healthcare industry, on-time delivery is a matter of life and death. You are currently evaluating the performance of your three primary courier services: MediShip, QuickRx, and PharmaFly.   You have compiled a dataset of 500 recent shipments. The data includes the Carrier Name, Region, Promised Delivery Date, and Actual Delivery Date. Your executive team needs a precise statistical breakdown of reliability. Specifically, there is a perception that PharmaFly is frequently late with international shipments, but you need to prove this with probability data before renegotiating contracts. See Spreadsheet:  Midterm_GlobalMed_500_Shipments.csv Data Summary Table: Carrier Total Shipments On-Time Late MediShip 200 190 10 QuickRx 150 135 15 PharmaFly 150 115 35 Total 500 440 60

Use the shipment dataset to calculate the probability that a shipment is late given it is International.Enter your answer rounded to four decimal places.

Based on your results in Q4 and Q5, does the data support the perception that PharmaFly is frequently late with international shipments?

Case Study 3: Salary Equity at “TechGiant” Original Assignment: Week 3 (Real Estate Sampling & Confidence Intervals) New Scenario: “TechGiant” is a software firm located in the San Francisco Bay Area. You are an HR Analytics Consultant hired to audit the company’s compensation structure. Specifically, the company classifies employees as either “Engineering” (Software Devs, QA) or “Operations” (Sales, HR, Marketing). There is a concern that Operations employees are being underpaid relative to market rates compared to Engineers. You have obtained a random sample of recent hires: 40 Engineering employees and 35 Operations employees. You need to calculate the mean salaries and create confidence intervals to see if the ranges overlap significantly. See Spreadsheet: Midterm_TechGiant_Salary_Sample_75.csv Data Summary: ●    Engineering (n=40): Mean = $145,000, Std Dev = $15,000 ●    Operations (n=35): Mean = $95,000, Std Dev = $10,000

Case Study 2: CyberSafe Network Intrusion Analysis Original Assignment: Week 2 (Defects & Time Between Defects)New Scenario:You are the Lead Security Analyst for “CyberSafe,” a managed security service provider. Instead of manufacturing defects, you are monitoring Network Intrusions (hacking attempts) on a client’s firewall.You have a dataset covering the last 200 hours of operation. The data tracks:1.   Intrusions_Per_Hour: Modeled using the Poisson Distribution.2.   Hours_Between_Intrusions: Modeled using the Exponential Distribution.Your analysis shows that the average number of intrusions per hour (λ) is 3, and the mean time between intrusions (μ) is 0.33 hours (20 minutes). Management needs to know the probability of being overwhelmed by attacks in a single hour, and the probability of having a quiet period to perform maintenance.