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NEW QUESTION: 1
The HD Pro scanner is capable of scanning items up to 42 inches wide from thick or rigid media up to how many millimeters thick?
A. 15mm
B. 30mm
C. 60mm
D. 10mm
Answer: A
Explanation:
Reference: http://h10010.www1.hp.com/wwpc/pscmisc/vac/us/product_pdfs/1143083.pdf
NEW QUESTION: 2
Fill in the blank in the following sentence:
Principal component analysis (PCA) is a statistical tool to decompose a ____________ matrix into its principal components and is useful in risk management to reduce dimensions.
A. Positive semi-definite
B. Correlation
C. Covariance
D. Volatility
Answer: A
Explanation:
Explanation
PCA is a statistical tool that decomposes a positive semi-definite matrix into its principal components. The first few principal components explain nearly all the variation and other components can then be ignored as they are too small in the larger picture. PCA in risk management is applied to a positive semi-definite correlation or covariance matrix to reveal the principal components that cause the variation. By allowing a focus on a few components, PCA reduces dimensionality.
While performing the math of PCA is unlikely to be asked in the PRMIA exam, you should remember that principal components have the additional property of being uncorrelated to each other which makes it useful as it is possible to vary one of the components without having to worry about the effect of that on the other components.
NEW QUESTION: 3
In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?
A. Selected variable with all story data
B. Selected variable average with the mean
C. Selected variable with CLV
D. Selected variable average with the filtered average
E. Selected variable with a different variable
Answer: A