Question: QUESTION 1 1.Polar bears, brown bears, black bears, and panda bears would be best described as an example of: Ordinal data Interval data Ratio data
QUESTION 1
1.Polar bears, brown bears, black bears, and panda bears would be best described as an example of:
Ordinal data
Interval data
Ratio data
Nominal data
QUESTION 2
1.________ is existing data that have been manually evaluated and assigned a class. ________ is existing data used to evaluate the model.
Test data; Training data
Structured data; Unstructured data
Unstructured data; Structured data
Training data; Test data
QUESTION 3
1.Data visualizations should not be used to satisfy an exploratory purpose.
True
False
QUESTION 4
1.If you are comparing two datasets that follow the normal distribution, even if the two datasets have very different means, you can still compare them by standardizing the distributions with Zscores.
True
False
QUESTION 5
1.After completing your data analysis, the write-up should include a discussion of which of the following:
All steps of the IMPACT model
Only the steps of the IMPACT model your client will understand
All steps of the IMPACT model your client will understand
Only the steps of the IMPACT model you consider important
QUESTION 6
1.The following are typical examples of ordinal dataexcept:
Education level
Blood type
Political affiliation
Letter grade
QUESTION 7
1.Which approach to data analytics attempts to discover associations between individuals based on transactions involving them?
Co-occurrence grouping
Regression
Classification
Similarity matching
QUESTION 8
1.________ states that in many naturally occurring collections of numbers, the leading significant digit is likely to be small.
Leading digits hypothesis
Classification
Moore's law
Benford's law
1.XBRL is a global standard for exchanging financial reporting information that uses XML.
True
False
QUESTION 10
1.________ is more complex than ________.
Training data; test data
Quantitative data; qualitative data
Test data; training data
Qualitative data; quantitative data
QUESTION 11
1.Link prediction is a data approach used to estimate or predict, for each unit, the numerical value of some variable using some type of statistical model.
True
False
QUESTION 12
1.Clustering is a data approach used to divide individuals into groups in a useful or meaningful way.
True
False
QUESTION 13
1.Data profiling is used to assess data quality and internal controls. It typically involves the following stepsexcept:
Filter the results.
Set boundaries or thresholds for the activity.
Identify the objects or activity you want to profile.
Determine the types of profiling you want to perform.
QUESTION 14
1.Declarative visualizations are the product of wanting to declare or present your findings to an audience.
True
False
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