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WGU C207 Textbook Assessment Questions Study Guide Questions and Correct Answers £11.89   Add to cart

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WGU C207 Textbook Assessment Questions Study Guide Questions and Correct Answers

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WGU C207 Textbook Assessment Questions Study Guide Questions and Correct Answers Quantitative analysis is another name for what? If a dataset is presented on a scale of hours per week, which scale of measurement is being used? The use of data, statistical and quantitative analysis, explanatory a...

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  • March 1, 2024
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WGU C207 Textbook Assessment Questions
Study Guide Questions and Correct Answers

1). Quantitative analysis is another name for what?

 Ans: statistics


2). If a dataset is presented on a scale of hours per week, which scale of measurement is
being used?

 Ans: ratio


3). The use of data, statistical and quantitative analysis, explanatory and predictive models,
and fact-based management to drive decisions and add value is called ________.

 Ans: analytics


4). First, second, third, fourth... what kind of data does this represent?

 Ans: ordinal data


5). This kind of data is also called categorical data.

 Ans: nominal data


6). Assume you are measuring the various lengths of used pencils, and you collect the
following data points (in inches): 1.37, 2.65, 2.78, 3.46, 3.91. what kind of data are these
data points?

 Ans: continuous data


7). A data point that can only take on whole values and has boundaries is called what?

 Ans: discrete


8). If a measure is consistent and repeatable it is said to be __________.




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,  Ans: reliable


9). A small group from which you make an inference about an entire population is called a
__________.

 Ans: sample


10). Cleaning and organizing data that has been collected is known as __________.

 Ans: data management


11). If you were to take your temperature 10 times in a row using the same thermometer and
got the same result every time, you could say that the thermometer is __________.

 Ans: reliable


12). According to the 2000 census the average number of people in a family in the u.s. was
3.17. since it isn't possible to have .17 of a person, you would use a __________ data point
to describe the number of people in your family.

 Ans: discrete


13). You survey 100 new yorkers about their preference for new york-style or chicago-style
pizza. what would be wrong with this?

 Ans: You would encounter measurement bias.


14). Rankings are an example of which kind of data?

 Ans: ordinal


15). The science of using mathematical procedures to describe data is __________.

 Ans: statistics


16). The third stage of davenport and kim's three-stage model of quantitative decision making
is which of the following?

 Ans: communicating results




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, 17). Cleaning and organizing collected raw data refers to which of the following?

 Ans: data management


18). Suppose you wanted to determine the ratio of cyclists to drivers in cities with higher
versus lower air quality. what kind of study might you use?

 Ans: observational study


19). Suppose you were to use analytics in an experiment to determine how many salespeople
to assign to particular sales territories based on the makeup and performance of the
territories in the results of the experiment. you would be using which kind of analytics?

 Ans: prescriptive


20). Suppose you employed analytics to determine which sales territories had shown the most
profitable growth in the last four quarters and would most likely do so again in the future.
you would be using which kind of analytics?

 Ans: predictive


21). Of the following, which is considered the most serious kind of data error?

 Ans: missing data


22). If you designed a drug trial in which the subject, the data gatherer, and the treatment
allocator did not know who was in the control group, then you created a __________ study.

 Ans: triple-blind


23). Suppose you were making a simplified representation of a complex problem in order to
solve it, which stage of the three stage model would you be in?

 Ans: solving the problem


24). Assume you are measuring the various returns on investment, over the past year, for four
different stocks in your portfolio. you find the following values (each as a percent of your
investment): 4.68, 5.65, 3.78, -0.46, 6.91. what kind of data are these data points?

 Ans: continuous data




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