365DataScience - Intro

Question 1

What is a Population?

Answer 1

A collection of all items of interest in a study.

• uppercase N in the formula
• Hard to observe
• Hard to contact

Question 2

What do you call the numbers obtained when working with a Population?

Answer 2

Parameters

Question 3

What is an example of a Population?

Answer 3

The number of employees working at Anthem

- This is difficult to define because people work on site, at home, offshore, etc.

Question 4

What is a Sample?

Answer 4

A subset of the population

• lowercase n in the formula
• Easy to observe
• Easy to contact

Question 5

What do you call the numbers obtained when working with a Sample?

Answer 5

Statistics

Question 6

What is an example of a Sample?

Answer 6

Interviewing 50 Anthem employees who eat their lunch in the Norfolk site cafeteria.

• Not a good example since this isn’t a random or representative sample.
• Most Anthem employees don’t work at the Norfolk building so we won’t be able to get a truly random sample.
• Also since most don’t work here, it’s not true representation of the entire population

Question 7

In Statistics, do you work more with Population data or Sample data?

Answer 7

Almost always work with Sample data and make decisions based on these samples

Question 8

A Sample must have what two traits for an insight to be precise?

Answer 8

1. Randomness
   a. Members collected for the sample are by chance, i.e. random
2. Representativeness
   a. Subset of population that accurately reflects the members of the population

Question 9

What’s the best way to get randomness and representativeness?

Answer 9

Getting access to a database of information that holds the necessary data for the population, i.e. Anthem employees, in order to create a true sample.