Reference no: EM133212491
Objective of this Assignment
Explain the methods and analysis to be used to test a hypothesis.
For this assignment, read the following scenario:
You tell your boss, "I've been working in the business intelligence and data analytics field for years. I know what I'm talking about. All of our competitors train the elves on their analytics teams. We give ours pixie dust. If we train our elves, then we will increase our data processing capacity by thirteen percent."
Note: Pixie dust is to elves as caffeine is to humans, a stimulant. Training is to elves as it is to humans, a way to enhance skills.
Your boss thinks they are playing devil's advocate (. . .you know for a fact they really are the devil's advocate. . .) and replies, " Well, I know a thing or two myself, 'wizardly one.' Elves are smart. They don't need training. If we do what you propose, then our data processing capacity will not improve by one iota, let alone thirteen percent. Prove me wrong."
"Challenge accepted," you declare, march out of the ivory tower and straight to your grotto, which is crammed with techno-computing junk, plop yourself down on your thrown made of melted hard drives, and get to thinking about how you will show your boss, yet again, you are not, not right.
For discussion:
Your search of open and commercial data sources comes up empty. There are no data extant that connect pixie dust and/or training to elven data processing efficiency. You have no choice but to conduct your own research on the one-hundred elves who work on company's analytics team, which means you will need to answer some important questions.
- What sampling approach will you employ and how will you do it.
- What type of dataset will host your data and what will it look like.
- What type of analysis will you conduct and how will you present the results?
- What do you need to learn from the research
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