
AFDA U1D3 vocab
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Mathematics
5th Grade - University

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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Ratio Data
Orders measurements like nominal data, but has a real zero (e.g., temperature). Zero means none!
Orders measurements like interval data, but has a real zero (e.g., age). Zero means none!
Orders measurements like ordinal data, but has a real zero (e.g., weight). Zero means none!
Orders measurements like interval data, but does not have a real zero (e.g., IQ). Zero means none!
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Observational Study
A researcher conducts experiments to test a hypothesis.
A researcher observes and records data (just watches).
A researcher manipulates variables to determine cause and effect.
A researcher surveys participants to gather opinions.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Interval Data
Orders measurements with equal intervals (e.g., IQ score, SAT score).
Categorizes data without a true zero point (e.g., temperature in Celsius).
Ranks data in a specific order but does not have equal intervals (e.g., race positions).
Groups data into categories without any order (e.g., types of fruit).
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Instrumental Bias
Happens when instruments are not programmed correctly.
Occurs when data is misinterpreted due to external factors.
Results from the use of outdated technology in measurements.
Is caused by human error in data collection.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Statistical Bias
Errors in the data cycle.
Accurate data representation.
Random sampling techniques.
Data normalization processes.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Census
A survey conducted every year to assess economic growth.
A count or measure of the entire population.
A method of sampling a small group to represent a larger population.
A statistical analysis of demographic trends.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Ordinal Data
Categories without order or rank (e.g., colors, names).
Categories with order or rank (e.g., 1st place, 2nd place, 3rd place).
Categories that can be measured numerically (e.g., height, weight).
Categories that are mutually exclusive (e.g., male, female).
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