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WGU D582 INTRO TO STATISTICS FOR RESEARCH OA COMPREHENSIVE STUDY GUIDE 2026 FULL QUESTIONS AND SOLUTIONS GRADED A+

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WGU D582 INTRO TO STATISTICS FOR RESEARCH OA COMPREHENSIVE STUDY GUIDE 2026 FULL QUESTIONS AND SOLUTIONS GRADED A+

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WGU D582 INTRO TO STATISTICS FOR
RESEARCH OA COMPREHENSIVE STUDY
GUIDE 2026 FULL QUESTIONS AND
SOLUTIONS GRADED A+

◍ Descriptive stats.
Answer: Organize and summarize info so a researcher can see what
happened during a research study and communicate the results.
◍ Inferential Stats.
Answer: Help a researcher answer the general question by determining
exactly which conclusions are justified based on the results obtained.
◍ Discrete random variable.
Answer: Variables of a whole number; you can't have 2.5 kids.
◍ Continuous random variable.
Answer: Don't have to be whole numbers; ex. Amount of rainfall might be
0.57 inches.
◍ Nominal scale.
Answer: A measurement scale that uses names or categories without
ordering them.
◍ Ordinal scale.
Answer: A measurement scale that uses categories in a certain order.
◍ Interval scale.
Answer: A numerical measurement scale that is evenly spaced between
increments and has no true zero point.
◍ Ratio scale.

, Answer: An interval measurement scale with a zero value that represents the
complete absence of the variable being measured.
◍ Binary numbers.
Answer: Numbers that can only be zero or one.
◍ Integers.
Answer: Whole number with no decimal.
◍ Real number.
Answer: Numbers that include a decimal or fraction portion.
◍ Population.
Answer: The entire group or collection that a researcher is attempting to
study.
◍ Sample.
Answer: A manageable subset of the population.
◍ Parameter.
Answer: A numeric data summary that describes a population.
◍ Statistic.
Answer: A numeric data summary that describes a sample.
◍ Representative sample.
Answer: A sample whose characteristics closely match those of the
population.
◍ Biased sample.
Answer: A sample whose characteristics do not closely match those of the
population.
◍ Simple random sampling.
Answer: A method of sampling in which every member of the population
has an equal probability of being chosen.
◍ Sample size.
Answer: The number of persons or items in a sample.

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