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Stats 101 - Quiz #1 (Week 1 & 2) With Complete Solutions

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Stats 101 - Quiz #1 (Week 1 & 2) With Complete Solutions

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  • September 17, 2024
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  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • Stats 101
  • Stats 101
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Stats 101 - Quiz #1 (Week 1 & 2) With
Complete Solutions

Statistics Answer: the science of collecting, classifying, analyzing and interpreting information



-often thought of as numerical descriptions



Population Answer: larger set of data/units in which we are interested in

- (N)



Sample Answer: selection of data (not always representative)

- a subset of the units of a population

- (n)



Sampling Answer: the process of selecting data



Descriptive Statistics Answer: numerical and graphical methods to explore (or represent),
summarize and present data in convenient form



ex: StFX is the top school for profs knowing your name



Inferential Statistics Answer: estimates, decisions, predictions or other generalizations about a
larger set of data (population)



ex: ads online being specific to an individual

, Experimental/Observational Unit Answer: an object (person, event) that we are collecting data for



Variable Answer: a characteristic or property of the unit (that varies among the units of the
population)



-can take on many meanings



Census Answer: measuring a variable for every experimental unit of a population

ex: class (population), take a census of everyone's age



Statistical Inference Answer: an estimate or prediction or some other generalization about a
population based on information contained in a sample

- using info contained in the sample to learn something about the population



Measurements Answer: the processes used to categorize and/or quantify variables and are
represented in types (quan or qual) and scales (nominal, ordinal, interval or ratio)

- all measurements will be one type of data and on one scale



Qualitative Data Answer: - aka categorical

- measurements that cannot be represented numerically and must be described, classified into
descriptive categories

- quality **



ex: how good was your last meal ? (poor, average, great)

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