Quantitative Research Techniques + Statistics – Peregrine|
69 questions| with complete solutions Latest Update 2024
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
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
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
, 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
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.
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
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
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.
69 questions| with complete solutions Latest Update 2024
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
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
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
, 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
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.
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
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
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.
