MATH 120 INTRODUCTION TO STATISTICS
LIME SPRING WEEK 8 FINAL EXAM TEST
BANK COLLECTION 2026 COMPLETE
SOLUTIONS GRADED A+
⩥ Data. Answer: Collections of observations, such as measurements,
genders, or survey responses.
⩥ Statistics. Answer: The science of planning studies and experiments;
obtaining data; and then organizing, summarizing, presenting, analyzing,
and interpreting those data and then drawing conclusions based on them.
⩥ Population. Answer: The complete collection of all measurements or
data that are being considered.
⩥ Census. Answer: Collection of data from every member of the
population.
⩥ Sample. Answer: Sub-collection of members selected from a
population.
⩥ Statistical thinking process. Answer: 1. Prepare
2. Analyze
,3. Conclude
⩥ Nonresponse. Answer: When someone either refuses to respond to a
survey question or is unavailable.
⩥ Sugging. Answer: Sell or attempt to sell a product under the guise of
conducting market research.
⩥ Statistical difference. Answer: Achieved in a study when we get a
result that is very unlikely to occur by chance.
⩥ Practical difference. Answer: Asks the larger question about
differences. "Are the differences between samples big enough to have
real meaning?"
⩥ Parameter. Answer: A numerical measurement describing some
characteristic of a population.
"Population parameter"
⩥ Statistic. Answer: A numerical measurement describing some
characteristic of a sample.
"Sample statistic"
⩥ Quantitative data. Answer: AKA numerical data
, Consists of numbers representing counts or measurements.
⩥ Categorical data. Answer: AKA qualitative or attribute data
Consists of names or labels that are not numbers representing counts or
measurements.
⩥ Discrete data. Answer: When the data values are quantitative and the
number of values is finite or "countable".
⩥ Continuous (numerical) data. Answer: From infinitely many possible
quantitative values, where the collection of values is not countable.
⩥ The 4 Levels of Measurement. Answer: 1. Nominal Level
2. Ordinal Level
3. Interval Level
4. Ratio Level
⩥ Nominal Level. Answer: Characterized by data that consist of names,
labels, or categories only. Data can't be arranged in an ordering scheme.
Example: Eye colors or social security numbers
⩥ Ordinal Level. Answer: Data that can be arranged in some order, but
differences between data values can't be determined or are meaningless.
LIME SPRING WEEK 8 FINAL EXAM TEST
BANK COLLECTION 2026 COMPLETE
SOLUTIONS GRADED A+
⩥ Data. Answer: Collections of observations, such as measurements,
genders, or survey responses.
⩥ Statistics. Answer: The science of planning studies and experiments;
obtaining data; and then organizing, summarizing, presenting, analyzing,
and interpreting those data and then drawing conclusions based on them.
⩥ Population. Answer: The complete collection of all measurements or
data that are being considered.
⩥ Census. Answer: Collection of data from every member of the
population.
⩥ Sample. Answer: Sub-collection of members selected from a
population.
⩥ Statistical thinking process. Answer: 1. Prepare
2. Analyze
,3. Conclude
⩥ Nonresponse. Answer: When someone either refuses to respond to a
survey question or is unavailable.
⩥ Sugging. Answer: Sell or attempt to sell a product under the guise of
conducting market research.
⩥ Statistical difference. Answer: Achieved in a study when we get a
result that is very unlikely to occur by chance.
⩥ Practical difference. Answer: Asks the larger question about
differences. "Are the differences between samples big enough to have
real meaning?"
⩥ Parameter. Answer: A numerical measurement describing some
characteristic of a population.
"Population parameter"
⩥ Statistic. Answer: A numerical measurement describing some
characteristic of a sample.
"Sample statistic"
⩥ Quantitative data. Answer: AKA numerical data
, Consists of numbers representing counts or measurements.
⩥ Categorical data. Answer: AKA qualitative or attribute data
Consists of names or labels that are not numbers representing counts or
measurements.
⩥ Discrete data. Answer: When the data values are quantitative and the
number of values is finite or "countable".
⩥ Continuous (numerical) data. Answer: From infinitely many possible
quantitative values, where the collection of values is not countable.
⩥ The 4 Levels of Measurement. Answer: 1. Nominal Level
2. Ordinal Level
3. Interval Level
4. Ratio Level
⩥ Nominal Level. Answer: Characterized by data that consist of names,
labels, or categories only. Data can't be arranged in an ordering scheme.
Example: Eye colors or social security numbers
⩥ Ordinal Level. Answer: Data that can be arranged in some order, but
differences between data values can't be determined or are meaningless.
