BUSINESS ANALYTICS 3RD EDITION EVANS
COMPLETE TEST PAPER LATEST
CERTIFICATION EVALUATION SCRIPT
GUARANTEED PASS FINAL ASSESSMENT
⩥ What is the difference between a population and a sample?
Answer: A population is a complete group with a common characteristic,
while a sample is a subset of that population.
⩥ What is a parameter in the context of a population?
Answer: A parameter is a characteristic or measure obtained by using all
the data values from a population.
⩥ What is a statistic in the context of a sample?
Answer: A statistic is a characteristic or measure obtained by using the
data values from a sample.
⩥ What are descriptive statistics?
Answer: Measures that describe the characteristics of a population or
sample.
⩥ What are inferential statistics?
,Answer: Statistics that use sample data to make inferences or predictions
about a larger population.
⩥ What is a hypothesis?
Answer: A proposed explanation made based on limited evidence,
serving as a starting point for further investigation.
⩥ What is simple random sampling?
Answer: A sampling method where each member of the population has
an equal chance of being selected.
⩥ What is stratified random sampling?
Answer: A sampling method that divides the population into similar
groups before sampling to ensure representation.
⩥ What is cluster sampling?
Answer: A sampling method that selects a few groups (clusters) from the
population for analysis.
⩥ What is data reduction?
Answer: The process of reducing the size of a data set to make it more
manageable for analysis.
⩥ What are common methods of data reduction?
, Answer: Filtering, deduplication, aggregation, and compression.
⩥ What is bias in business analytics?
Answer: Prejudice in favor of or against a thing, person, or group, which
can be intentional or unintentional.
⩥ What are some sources of bias in analytics?
Answer: Bad data, bad analysis, and people problems, including
cognitive biases.
⩥ What is a random variable?
Answer: A variable that quantifies the outcomes of random occurrences.
⩥ What is a probability distribution?
Answer: A statistical function that describes the possible values in a
population and the likelihood of each value.
⩥ What is continuous data?
Answer: Numerical data that can take any value within a range, such as
height or weight.
⩥ What is discrete data?
COMPLETE TEST PAPER LATEST
CERTIFICATION EVALUATION SCRIPT
GUARANTEED PASS FINAL ASSESSMENT
⩥ What is the difference between a population and a sample?
Answer: A population is a complete group with a common characteristic,
while a sample is a subset of that population.
⩥ What is a parameter in the context of a population?
Answer: A parameter is a characteristic or measure obtained by using all
the data values from a population.
⩥ What is a statistic in the context of a sample?
Answer: A statistic is a characteristic or measure obtained by using the
data values from a sample.
⩥ What are descriptive statistics?
Answer: Measures that describe the characteristics of a population or
sample.
⩥ What are inferential statistics?
,Answer: Statistics that use sample data to make inferences or predictions
about a larger population.
⩥ What is a hypothesis?
Answer: A proposed explanation made based on limited evidence,
serving as a starting point for further investigation.
⩥ What is simple random sampling?
Answer: A sampling method where each member of the population has
an equal chance of being selected.
⩥ What is stratified random sampling?
Answer: A sampling method that divides the population into similar
groups before sampling to ensure representation.
⩥ What is cluster sampling?
Answer: A sampling method that selects a few groups (clusters) from the
population for analysis.
⩥ What is data reduction?
Answer: The process of reducing the size of a data set to make it more
manageable for analysis.
⩥ What are common methods of data reduction?
, Answer: Filtering, deduplication, aggregation, and compression.
⩥ What is bias in business analytics?
Answer: Prejudice in favor of or against a thing, person, or group, which
can be intentional or unintentional.
⩥ What are some sources of bias in analytics?
Answer: Bad data, bad analysis, and people problems, including
cognitive biases.
⩥ What is a random variable?
Answer: A variable that quantifies the outcomes of random occurrences.
⩥ What is a probability distribution?
Answer: A statistical function that describes the possible values in a
population and the likelihood of each value.
⩥ What is continuous data?
Answer: Numerical data that can take any value within a range, such as
height or weight.
⩥ What is discrete data?
