Scientists — Solutions Manual (All 14 Chapters)
What is the science of collecting, analyzing, and interpreting data called? - answer-Statistics
What is a sample in statistics? - answer-A subset of a population used to estimate parameters.
Why is it often impractical to measure an entire population? - answer-It is expensive, time-
consuming, and often unnecessary.
What do descriptive statistics do? - answer-They organize data and summarize the state of the
world.
What are measures of central tendency? - answer-Mean, median, and mode.
What are measures of variability? - answer-Range, variance, and standard deviation.
What is the purpose of inferential statistics? - answer-To use data to make claims and test
hypotheses.
What types of data sources are commonly used in statistics? - answer-Administrative data,
surveys, and archives.
What is a key ethical consideration in statistical research? - answer-Integrity of purpose and the
impact of decisions on real populations.
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, What is p-hacking? - answer-Tweaking data to present a feasible probability.
What are the steps in the scientific method? - answer-Identify a question, develop a theory,
formulate a hypothesis, design research, collect data, conclude, and replicate.
What is external validity? - answer-The extent to which conclusions can be generalized to other
settings.
What is internal validity? - answer-The soundness of the study design and its ability to establish
cause-effect relationships.
What are the four levels of measurement? - answer-Nominal, ordinal, interval, and ratio.
What is an example of a nominal variable? - answer-Gender (man, woman, transgender,
nonbinary, other).
What is an example of an ordinal variable? - answer-Job stability (very unstable to very stable).
What distinguishes interval variables from ratio variables? - answer-Interval variables do not
have a true zero, while ratio variables do.
What is validity in research design? - answer-The extent to which a measure accurately reflects
the real-world concept it is intended to measure.
What is reliability in measurement? - answer-The consistency of a measure across different
instances.
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