Exam 2: An Introduction to Analytics and Data

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

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

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

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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 __________________.

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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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Why is random sampling important in statistics?

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

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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?

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Define raw data.

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

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

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

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Data are information in a variety of forms such as:

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How can you clean data?

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

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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.

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

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

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