Deck 2: An Introduction to Analytics and Data

Question 1

The goal of analytics is to tear apart the data to develop as many data models as possible.

Answer 1

False

Question 2

Sport analytics is normally used to explore an entire organization to leverage broader information across the whole organization.

Answer 2

False

Question 3

Sport analytics can be explored at which of the following levels?

A) every department
B) the entire organization
C) every event
D) all of the above
E) none of the above

Answer 3

D

Question 4

Data can include pictures.

Question 5

Data are information in a variety of forms such as:

A) numbers
B) words
C) pictures
D) videos
E) all of the above

Question 6

Define raw data.

Question 7

It is normally pretty simple to identify how much data you will need.

Question 8

It is better to have more data than necessary to protect yourself from possibly missing information.

Question 9

Why is it important to have quality data?

Question 10

How can you clean data?

Question 11

The two primary types of data are ______________ and __________________.

Question 12

Nominal data uses numbers to classify data such as 1 for male and 2 for female.

Question 13

Nominal scale displays some type of order between the numbers with respect to the characteristic being measured.

Question 14

Which type of statistical score is an IQ test score (with equal distance between points)?

A) nominal
B) interval
C) ordinal
D) ratio
E) none of the above

Question 15

Descriptive statistics summarize and describe data via frequencies, central tendency, measures of dispersion and distribution characteristics. An example is a batting average in baseball.

Question 16

Why is random sampling important in statistics?

Question 17

In decision tree models, algorithms make decisions on which variable to use for splitting the data with the goal of identifying the best way to split the data into subsets.

Question 18

Time series analysis could be used to identify patterns in data over time and can be broken down by the following techniques except?

A) seasonal
B) cyclic or long term,
C) irregular
D) all of the above
E) none of the above

Question 19

Sentiment analysis is based on the idea of opinions having binary oppositions.

Question 20

How can kick-off delays in MLS be tracked and acted upon?

Question 21

If you were developing a system to analyze the New Jersey Youth Soccer Olympic Development Program, what data would you want to uncover to determine if the program was successful? List at least ten pieces of data.

Question 22

Analysts are trying to identify patterns in data.

Question 23

Which of the following is NOT a job of a data analyst?

A) summarize data
B) find meaning in data
C) find patterns in data
D) all of the above are jobs for a data analyst
E) none of the above are jobs of a data analyst

Question 24

Prescriptive analytics uses data from the past to predict the future.

Question 25

Forecasting is the estimation of some variable of interest at some specific future point in time as a function of past data.

Question 26

Very few mechanical or electrical devises can leave an electronic trail for analysis.

Question 27

Which of the following types of business decisions can NOT be made with analytics?

A) marketing
B) supply chain
C) finance
D) human resources
E) none of the above

Question 28

In the world of analytics there is no room for intuition.