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Quantitative Research Techniques + Statistics – Peregrine Latest Update

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Quantitative Research Techniques + Statistics - Peregrine Questions And Answers Latest Update


Quantitative Research Techniques +
Statistics – Peregrine Latest Update
A company developed a smartphone whose average lifetime is unknown. In order
to estimate the average, 200 smartphones are randomly selected from a large
production line and tested; their average is found to be 5 years. The 200
smartphones represent: - ✔✔✔-a sample



Significance level - ✔✔✔-Measures the reliability of a statistical inference



inferential statistics - ✔✔✔-Process of using sample statistics (mathematics) to
draw conclusions about population parameters



mutually exclusive - ✔✔✔-Events that cannot occur at the same time.



sampling error - ✔✔✔-the difference between the results of random samples taken
at the same time



non-sampling error - ✔✔✔-occurs when the sample data are incorrectly collected,
recorded, or analyzed. Three types of errors: data acquisition errors, non-response
errors (or bias), selection bias



Design of a good survey components - ✔✔✔-short survey, short/simple questions,
start with demographic questions, ues dichtomous (yes-no) and multiple choice



Direct observation - ✔✔✔-example: counts backpacks on campus for a day



stratified random sample - ✔✔✔-a sample from selected subgroups of the target
population in which everyone in those subgroups has an equal chance of being
included in the research



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, Quantitative Research Techniques + Statistics - Peregrine Questions And Answers Latest Update


example: The manager of a customer service division wants to know if the
customers in the past 12 months are satisfied with their purchase of CD's. There
are four types of CD's.



Joint Probability - ✔✔✔-the probability of the intersection of two events



Union of two events - ✔✔✔-The union of events A and B is the event containing all
sample points that are in A or B or both



Marginal Probability - ✔✔✔-the probability of a single event without consideration
of any other event



Conditional Probability - ✔✔✔-the likelihood that a target behavior will occur in a
given circumstance



Bayes Law - ✔✔✔-calculates posterior probability



exhaustive - ✔✔✔-including everything possible; very thorough or complete



Central Limit Theorem (CLT) - ✔✔✔-The name of the theorem stating that the
sampling distribution of a statistic (e.g. x ) is approximately normal whenever the
sample is large and random. Allows us to draw conclusions about the population
based on strictly sample data.



sampling distribution of the mean - ✔✔✔-1. the sampling distribution of the mean
has a different mean from the original population

2. the standard deviation of the sampling distribution of the mean is referred to as
the standard deviation

3. if the original population is not normally distributed, the sampling of the mean
will be normal



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