INSTRUCTOR SOLUTION MANUAL FOR
ELEMENTARY STATISTICS 2 COMPREHENSIVE
STUDY SHEET 2026 SOLVED QUESTIONS
PREMIUM BUNDLE
◉ Population Data.
Answer: -The complete collection of all elements (scores, people,
measurements, and so on) to be studiesd; the collection is complete
in that it includes data from EVERY individual or object of interest.
-Sub-collection from the bigger picture.
◉ Sample Data.
Answer: The collection of elements (scores, people, measurements,
and so on) from ONLY SOME of the individuals of interest.
◉ Population Parameter.
Answer: A numerical measure that describes an aspect of a
population.
◉ Sample Statistic.
Answer: A numerical measure that describes an aspect of a sample.
,◉ Nominal.
Answer: -Qualitative.
-Data that consists of names, labels, or categories. There are no
implied criteria by which the data can be ordered from smallest to
largest.
◉ Ordinal.
Answer: -Qualitative.
-Data that can be arranged in order, differences between data values
either cannot be determined or are meaningless.
◉ Interval.
Answer: -Quantitative.
-Data that can be arranged in order, difference between data values
are meaningful.
-No natural 0 starting point.
◉ Ratio.
, Answer: -Quantitative.
-Data that can be arranged in order. Both differences between data
values and ratios of data values are meaningful. Data at the ratio
level have a true zero.
◉ Random Sample.
Answer: A subset of a population is selected such that each
individual from the population has an
equal chance of being selected.
◉ Simple Random Sample.
Answer: A subset of the population is selected such that every
sample of size n from the population has an equal chance of being
selected.
◉ Stratified Sampling.
Answer: -Divide the entire population into distinct subgroups called
strata. Draw random samples from each stratum.
-sampling SOME from ALL of the groups. (kinda the opposite of
cluster sampling)
◉ Cluster Sampling.
ELEMENTARY STATISTICS 2 COMPREHENSIVE
STUDY SHEET 2026 SOLVED QUESTIONS
PREMIUM BUNDLE
◉ Population Data.
Answer: -The complete collection of all elements (scores, people,
measurements, and so on) to be studiesd; the collection is complete
in that it includes data from EVERY individual or object of interest.
-Sub-collection from the bigger picture.
◉ Sample Data.
Answer: The collection of elements (scores, people, measurements,
and so on) from ONLY SOME of the individuals of interest.
◉ Population Parameter.
Answer: A numerical measure that describes an aspect of a
population.
◉ Sample Statistic.
Answer: A numerical measure that describes an aspect of a sample.
,◉ Nominal.
Answer: -Qualitative.
-Data that consists of names, labels, or categories. There are no
implied criteria by which the data can be ordered from smallest to
largest.
◉ Ordinal.
Answer: -Qualitative.
-Data that can be arranged in order, differences between data values
either cannot be determined or are meaningless.
◉ Interval.
Answer: -Quantitative.
-Data that can be arranged in order, difference between data values
are meaningful.
-No natural 0 starting point.
◉ Ratio.
, Answer: -Quantitative.
-Data that can be arranged in order. Both differences between data
values and ratios of data values are meaningful. Data at the ratio
level have a true zero.
◉ Random Sample.
Answer: A subset of a population is selected such that each
individual from the population has an
equal chance of being selected.
◉ Simple Random Sample.
Answer: A subset of the population is selected such that every
sample of size n from the population has an equal chance of being
selected.
◉ Stratified Sampling.
Answer: -Divide the entire population into distinct subgroups called
strata. Draw random samples from each stratum.
-sampling SOME from ALL of the groups. (kinda the opposite of
cluster sampling)
◉ Cluster Sampling.
