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Data Measurement in Statistics MCQ with Answers PDF

Data Measurement in Statistics Multiple Choice Questions (MCQ), Data Measurement in Statistics quiz answers PDF with business statistics career tests for online courses. Practice introduction to statistics Multiple Choice Questions and Answers (MCQs), Data Measurement in Statistics quiz questions for best online colleges for business administration. Data Measurement in Statistics Interview Questions PDF: statistical techniques, principles of measurement, types of statistical methods, statistical analysis methods test prep for online school of business administration.

"The type of rating scale which allows respondents to choose most relevant option out of other stated options is classified as" MCQ PDF on data measurement in statistics with choices marking rating scale, graphical rating scale, itemized rating scale, and pointed rating scale for best online colleges for business administration. Practice data measurement in statistics quiz questions for merit scholarship test and certificate programs for online business administration and management degree.

MCQs on Data Measurement in Statistics Quiz

MCQ: The type of rating scale which allows respondents to choose most relevant option out of other stated options is classified as

marking rating scale
graphical rating scale
itemized rating scale
pointed rating scale

MCQ: The measurement scale which allows the researchers and statisticians to perform certain operations on the data collected from respondents is classified as

interval scale
flow measuring scale
validity scale
reliability scale

MCQ: The data measurement which arises from a specific measuring process is classified as

reliable data
valid data
continuous data
discrete data

MCQ: The measurement scale which allows the ranking of numbers rather than arithmetic operations on data is classified as

valid scale
discrete scale
ordinal scale
continuous scale

MCQ: The measurement of how well the particular concept and technique measures the variables is classified as

reliability
validity
continuity of variables
goodness of variables