Exam 2: An Introduction to Analytics and Data
Exam 1: Introduction17 Questions
Exam 2: An Introduction to Analytics and Data28 Questions
Exam 3: The Data Ecosystem20 Questions
Exam 4: The Data Game: Analyzing Our Way to Better Sport Performance18 Questions
Exam 5: Strategic Talent Management Analytics12 Questions
Exam 6: Analytics in Sport Marketing22 Questions
Exam 7: Analytics in Digital Marketing18 Questions
Exam 8: Sport finance by the Numbers27 Questions
Exam 9: Sport Law by the Numbers14 Questions
Exam 10: Manufacturing Production Analytics19 Questions
Exam 11: Event Management by the Numbers25 Questions
Exam 12: Facility Management Analytics13 Questions
Exam 13: Putting It All Together16 Questions
Exam 14: Data Analysis and Probability9 Questions
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In the world of analytics there is no room for intuition.
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False
Forecasting is the estimation of some variable of interest at some specific future point in time as a function of past data.
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True
It is normally pretty simple to identify how much data you will need.
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False
Descriptive statistics summarize and describe data via frequencies, central tendency, measures of dispersion and distribution characteristics. An example is a batting average in baseball.
(True/False)
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The goal of analytics is to tear apart the data to develop as many data models as possible.
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The two primary types of data are ______________ and __________________.
(Short Answer)
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Sport analytics is normally used to explore an entire organization to leverage broader information across the whole organization.
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Which of the following types of business decisions can NOT be made with analytics?
(Multiple Choice)
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Time series analysis could be used to identify patterns in data over time and can be broken down by the following techniques except?
(Multiple Choice)
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Nominal data uses numbers to classify data such as 1 for male and 2 for female.
(True/False)
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Prescriptive analytics uses data from the past to predict the future.
(True/False)
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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.
(Essay)
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Sport analytics can be explored at which of the following levels?
(Multiple Choice)
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It is better to have more data than necessary to protect yourself from possibly missing information.
(True/False)
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