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English Language Tests-Intermediate level's archive
Statistical modeling for decision-making
1. Dr. Hossein Arsham of the University of Baltimore
explains that in this diverse world of ours, no two things
are exactly the same, and a statistician is interested in
both the differences and the similarities; i.e., both
and patterns.

departures
detractions
disorders
distractions
2. The tables published by insurance companies
reflect their statistical analysis of the average life
expectancy of men and women at any given age.

actuarial
calculation
demogogic
graduated
3. From these numbers, the insurance companies then
calculate the appropriate for a particular individual to
purchase a given amount of insurance.

charges
fees
gratuities
premiums
4. The more widely used descriptive statistical techniques
are: Frequency Distribution, , Boxplot, Scattergrams
and Error Bar plots, and diagnostic plots.



Histograms
Holograms
Picograms
Pictograms
5. In examining distribution of data, you should be able to
detect important characteristics, such as shape, location,
variability, and unusual values, and from careful
observations of patterns in data, you can generate
about relationships among variables.

conjectures
conjunctions
junctures
juxtapositions
6. The notion of how one variable may be associated with
another almost all of statistics, from simple
comparisons of proportions through linear regression.

penetrates
peregrinates
permeates
permutates
7. From the data collection plan, a statistical model can be
formulated from which inferences can be

drawn
implied
penned
sketched

8. As an example of statistical modeling with managerial
implications, such as 'what-if' analysis, regression
analysis.

acknowledge
consider
ponder
regard
9. Frequently, for example, the marketing managers are
faced with the question, 'What sample size do I need?' —
this is an important and common statistical decision, which
should be given attention, since an inadequate
sample size invariably leads to wasted resources.

all
apt
due
long
10. Your organization database contains a wealth of
information, yet the decision technology group members
can usually only a fraction of it.

tap
taste
tell
try

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