Question 1.3
Twenty illicitly made tablets containing paracetamol and caffeine were submitted to the forensic laboratory by narcotic officers. What would be the most suitable sampling plan for this analysis?
- To sample one tablet for testing since both paracetamol and caffeine are not controlled.
- Since the tablets were illicitly made, all twenty tablets should be sampled.
- A hypergeometric sampling plan is good so that the result can be inferred to the entire twenty tablets,
- Sampling of five tablets is a good compromise since paracetamol and caffeine are not controlled and the tablets are illicitly made.
- Since there are two non-controlled drugs in the tablets, a sampling of at least ten tablets is needed.
Stuck with a lot of homework assignments and feeling stressed ? Take professional academic assistance & Get 100% Plagiarism free papers
Answer
Looking for Plagiarism free Answers for your college/ university Assignments.
Recent Solved Questions
- A2429C Case Study Assignment: Glucose Homeostasis, Muscle Function, and Cardiovascular-Lymphatic Disorders
- Finance/ Wealth Management Assignment: Broker Report on Equity and Bond Valuation for Global Listed Companies
- PSB503IT Team Project Reflective Report Assignment: Enhancing Collaboration and Professional Development
- Microbiology Assignment: The Role of Medical Microbiologists in Disease Control and Their Contribution to Public Health
- A2389C Pharmaceutical Supply Chain Case Study Assignment: Emergency Preparedness Plan for Tariff Impact in Singapore
- Mobile Learning App Evaluation Report Assignment: Usability, Design, and Learning Outcome Analysis
- CTA Psychotherapy Intervention Essay Assignment: Sheila Case Study on Managing Anxiety and Marital Stress
- DSM500 Machine Learning Project Proposal: Retail Sales Forecasting with Time Series Models
- Project Management Assignment 2: The Shard UK Case Study on Risk & Stakeholder Strategies in Construction Projects
- CSIT121 Banking Application Assignment: OOP-Based Customer & Account Management System in Python