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STT 1600 Final Exam Questions and Correct
Answers
Population Ans: The entire set of subjects being studied.
Discrete Ans: Data that has specific limited values.
Systematic Ans: Methodical sampling, like every 10th.
Descriptive Ans: Statistics that were collected.
Quantitative Ans: Numerical data, normally ranked.
Observation Ans: Study in which no treatment is given.
Sample Ans: A subset of the larger set being studied.
Convenience Ans: Sampling at the subjects location.
Inferential Ans: Statistics extended to the population.
Experiment Ans: Study where a treatment is given.
Stratified Ans: Sampling from subsets within a population.
Continuous Ans: Data with infinitely many possible values.
Categorical Ans: Data that is not numerical, ie color.
Case control Ans: Hybrid experiment/observation study.
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Bias Ans: Prejudice in the statistical process.
Population parameters Ans: Specific characteristics of the
population that a statistical study is designed to estimate.
Sample statistics Ans: Numbers or observations that summarize
the raw data.
Random sampling Ans: Sampling so every sample of a given size
has an equal chance of being selected. A random number
generator or a coin or dice is used to generate the random sample.
Systematic sampling Ans: Sampling via a simple system, such as
every 10th member of the population.
Convenience sampling Ans: Sampling when and where convenient.
Stratified sampling Ans: Sampling that purposefully includes
samples from subsets within a population, to ensure good
representation.
Cluster sampling Ans: Sampling that divides a population into
sections, then randomly select a number of clusters and choose all
members from those clusters.
What kind of study?
Observation, experiment, or case control?
Can lifting weights improve runners' 10K race times? Ans:
Experiment
What kind of study?
© 2025 All rights reserved
STT 1600 Final Exam Questions and Correct
Answers
Population Ans: The entire set of subjects being studied.
Discrete Ans: Data that has specific limited values.
Systematic Ans: Methodical sampling, like every 10th.
Descriptive Ans: Statistics that were collected.
Quantitative Ans: Numerical data, normally ranked.
Observation Ans: Study in which no treatment is given.
Sample Ans: A subset of the larger set being studied.
Convenience Ans: Sampling at the subjects location.
Inferential Ans: Statistics extended to the population.
Experiment Ans: Study where a treatment is given.
Stratified Ans: Sampling from subsets within a population.
Continuous Ans: Data with infinitely many possible values.
Categorical Ans: Data that is not numerical, ie color.
Case control Ans: Hybrid experiment/observation study.
© 2025 All rights reserved
, 2 | Page
Bias Ans: Prejudice in the statistical process.
Population parameters Ans: Specific characteristics of the
population that a statistical study is designed to estimate.
Sample statistics Ans: Numbers or observations that summarize
the raw data.
Random sampling Ans: Sampling so every sample of a given size
has an equal chance of being selected. A random number
generator or a coin or dice is used to generate the random sample.
Systematic sampling Ans: Sampling via a simple system, such as
every 10th member of the population.
Convenience sampling Ans: Sampling when and where convenient.
Stratified sampling Ans: Sampling that purposefully includes
samples from subsets within a population, to ensure good
representation.
Cluster sampling Ans: Sampling that divides a population into
sections, then randomly select a number of clusters and choose all
members from those clusters.
What kind of study?
Observation, experiment, or case control?
Can lifting weights improve runners' 10K race times? Ans:
Experiment
What kind of study?
© 2025 All rights reserved
