QUANTITATIVE RESEARCH TECHNIQUES +
STATISTICS – PEREGRINE EXAM WITH
CORRECT ACTUAL QUESTIONS AND
CORRECTLY WELL DEFINED ANSWERS LATEST
ALREADY GRADED A+
Practice questions for this set
Learn 1/6 Study with Learn
Terms in this set (69)
A company developed a a sample
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:
, 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 short survey, short/simple questions, start with
components demographic questions, ues dichtomous (yes-no)
and multiple choice
Direct observation example: counts backpacks on campus for a day
STATISTICS – PEREGRINE EXAM WITH
CORRECT ACTUAL QUESTIONS AND
CORRECTLY WELL DEFINED ANSWERS LATEST
ALREADY GRADED A+
Practice questions for this set
Learn 1/6 Study with Learn
Terms in this set (69)
A company developed a a sample
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:
, 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 short survey, short/simple questions, start with
components demographic questions, ues dichtomous (yes-no)
and multiple choice
Direct observation example: counts backpacks on campus for a day
