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QUANTITATIVE RESEARCH TECHNIQUES, STATISTICS PEREGRINE STUDY GUIDE EXAM RECENT UPLOADED QUESTIONS & ANSWERS

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QUANTITATIVE RESEARCH TECHNIQUES, STATISTICS PEREGRINE STUDY GUIDE EXAM RECENT UPLOADED QUESTIONS & ANSWERS SET OF 70 VERIFIED PRACTICES QUESTIONS 1. 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: - ANSWER - a sample 2. Significance level - ANSWER - Measures the reliability of a statistical inference 3. Inferential statistics - ANSWER - Process of using sample statistics (mathematics) to draw conclusions about population parameters 4. Mutually exclusive - ANSWER - Events that cannot occur at the same time. 5. Sampling error - ANSWER - the difference between the results of random samples taken at the same time 6. Non-sampling error - ANSWER - 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 7. Design of a good survey components - ANSWER - short survey, short/simple questions, start with demographic questions, ues dichtomous (yes-no) and multiple choice 8. Direct observation - ANSWER - example: counts backpacks on campus for a day 9. Stratified random sample - ANSWER - 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 10. 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.

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QUANTITATIVE RESEARCH TECHNIQUES, STATISTICS
PEREGRINE STUDY GUIDE EXAM RECENT UPLOADED
QUESTIONS & ANSWERS


SET OF 70 VERIFIED PRACTICES QUESTIONS


1. 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: - ANSWER ✔ - a sample



2. Significance level - ANSWER ✔ - Measures the reliability of a statistical inference



3. Inferential statistics - ANSWER ✔ - Process of using sample statistics (mathematics) to draw
conclusions about population parameters



4. Mutually exclusive - ANSWER ✔ - Events that cannot occur at the same time.



5. Sampling error - ANSWER ✔ - the difference between the results of random samples taken at the
same time



6. Non-sampling error - ANSWER ✔ - 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



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



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




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, 9. Stratified random sample - ANSWER ✔ - 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



10. 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.



11. Joint Probability - ANSWER ✔ - the probability of the intersection of two events



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



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



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



15. Bayes Law - ANSWER ✔ - calculates posterior probability



16. Exhaustive - ANSWER ✔ - including everything possible; very thorough or complete



17. Central Limit Theorem (CLT) - ANSWER ✔ - 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.



18. Sampling distribution of the mean - ANSWER ✔ - 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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