Math 110 questions and answers 2025
Datum
A single piece of information.
Data
Plural for datum.
Population
A collection of data, typically too large to gather.
Sample
A subset of a population(hopefully representative). Used to make inferences about a
Population.
Parameter
A measure taken from a population. Can be an average or %. To find a parameter of interest,
how is data being measured?
Statistic
A measure from a sample(average or %) that is used to estimate a parameter.
Error
Right answer(parameter) - estimate(statistic).
Unknowable when parameter is unknown.
Descriptive Statistics
Summarizing data through averages, %s, graphs, etc.
Inferential Statistics
Using probability/statistics to make conclusions about unknown population parameters.
, Data Types
Categorical.
Quantitative.
Discrete Quantitative Data
Continuous Quantitative Data
Categorical Data
Non-quantities.
(color, zip code[numerical but not quant], names.
Quantitative Data
Quantities(measured or counted).
(Temp, length, age).
Discrete Quantitative Data
Counted quantities(Separated by gaps).
(# of ppl, amount of $ in pocket).
Continuous Quantitative Data
Measured quantities(no gaps b/w measurements).
(Temp, weight).
Levels of Measurement
Nominal.
Ordinal.
Interval.
Ratio.
Meaningful order, Meaninful Differences, Meaninful Zeros/Ratios.
Lvl of Measurement: Nominal
Zip code, color, names, Mt. Sac Buildings
Datum
A single piece of information.
Data
Plural for datum.
Population
A collection of data, typically too large to gather.
Sample
A subset of a population(hopefully representative). Used to make inferences about a
Population.
Parameter
A measure taken from a population. Can be an average or %. To find a parameter of interest,
how is data being measured?
Statistic
A measure from a sample(average or %) that is used to estimate a parameter.
Error
Right answer(parameter) - estimate(statistic).
Unknowable when parameter is unknown.
Descriptive Statistics
Summarizing data through averages, %s, graphs, etc.
Inferential Statistics
Using probability/statistics to make conclusions about unknown population parameters.
, Data Types
Categorical.
Quantitative.
Discrete Quantitative Data
Continuous Quantitative Data
Categorical Data
Non-quantities.
(color, zip code[numerical but not quant], names.
Quantitative Data
Quantities(measured or counted).
(Temp, length, age).
Discrete Quantitative Data
Counted quantities(Separated by gaps).
(# of ppl, amount of $ in pocket).
Continuous Quantitative Data
Measured quantities(no gaps b/w measurements).
(Temp, weight).
Levels of Measurement
Nominal.
Ordinal.
Interval.
Ratio.
Meaningful order, Meaninful Differences, Meaninful Zeros/Ratios.
Lvl of Measurement: Nominal
Zip code, color, names, Mt. Sac Buildings
