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DSCI 2710 Test 1 Verified Practice Questions And 100% Correct Answers.
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statistics - correct answer a branch of applied mathematics concerned with the collection and interpretation of quantitative data and the use of probability theory to estimate population parameters Why do we use statistics in business? - correct answer ...

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  • October 4, 2024
  • 5
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers

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  • dsci 2710 test 1

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DSCI 2710 Test 1

statistics - correct answer a branch of applied mathematics concerned with the
collection and interpretation of quantitative data and the use of probability theory to estimate
population parameters



Why do we use statistics in business? - correct answer -quality improvement

-product planning

-forecasting

-yearly reports

-personnel management

-market research



descriptive statistics - correct answer statistical procedures used to describe
characteristics and responses of groups of subjects



inferential statistics - correct answer numerical methods used to determine
whether research data support a hypothesis or whether results were due to chance



population - correct answer (statistics) the entire aggregation of items from which
samples can be drawn



sample - correct answer items selected at random from a population and used to
test hypotheses about the population



variable - correct answer a quantity that can assume any of a set of values



simple random sample - correct answer this of sample size n is one in which each
set of n elements in the population has an equal chance of selection

, census - correct answer a period count of the population



parameter - correct answer a constant in the equation of a curve that can be varied
to yield a family of similar curves



discrete data - correct answer Numerical data values that can be COUNTED



continuous data - correct answer Numerical data values that can be MEASURED



nominal data - correct answer data of categories only. Data cannot be arranged in
an ordering scheme. (Gender, Race, Religion)



ordinal data - correct answer data exists in categories that are ordered but
differences cannot be determined or they are meaningless. (Example: 1st, 2nd, 3rd)



ratio data - correct answer data with an absolute 0. Ratios are meaningful. (Length,
Width, Weight, Distance)



interval data - correct answer differences between values can be found, but is NO
absolute ZERO. Examples: temperature F, time



nonrandom sample - correct answer sample drawn in ill-defined or haphazard way



convenience sample - correct answer only members of the population who are
easily accessible are selected



judgement sample - correct answer a sample that is chosen based on the
judgement of the ethnographer



quota sampling - correct answer a nonprobability sampling technique in which
researchers divide the population into groups and then arbitrarily choose participants from each group

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