Deck 1: Introduction

Question 1

Big Data encompasses the ability to take significant amounts of data, analyze the data, and then develop approaches to solve numerous problems.

Answer 1

False

Question 2

Decision analytics is not connected with big data.

Answer 2

False

Question 3

Big data can be used to increase traffic efficiency and reduce commute time.

Answer 3

True

Question 4

The United States is successful in getting children to be more physically active.

Question 5

Participation rate in United States youth sports is at an all-time high.

Question 6

One of the most common reasons people stop going to health clubs is because a club has closed down.

Question 7

People do not respond well to rewards.

Question 8

Conventional wisdom is normally correct.

Question 9

Conventional wisdom has shown that hospitals are the safest location to avoid catching a cold or disease.

Question 10

The hypothesis testing process entails all the following except:

A) identifying the problem or question
B) finding enough cash to undertake the research
C) examining the data
D) identifying possible solutions
E) none of the above are part of hypothesis testing

Question 11

What is data supposed to produce?

A) questions
B) analysis
C) the truthful answers
D) more useful data
E) none of the above

Question 12

Examining past practices/findings is an important part of the data analysis process.

Question 13

What data can help you identify a correlation between obesity and premature death?

Question 14

Give a specific example of where a correlation in sport does not lead to causation.

Question 15

What is an outlier? Explain its significance in relation to big data.

Question 16

If you were going to try and beat the world record for the highest number of sit-ups in 24 hours how would you go about researching/analyzing what you would need to do to break the record?

Question 17

Dynamic ticketing was a change to an existing practice that produced significant results; can you identify another areas in the sport industry ripe for significant change? Why and how can data be used to help leverage, promote, or manage that change?