MATH 225N WEEK 5 PRACTICE SOLUTION
2026 TESTED QUESTIONS WITH FULL
ANSWERS
◉ Statistics. Answer: The science of collecting, organizing, analyzing,
and interpreting data in order to make decisions
◉ Population. Answer: The collection of all outcomes, responses,
measurements, or counts that are of interest.
◉ Sample. Answer: A subset of the population
◉ Parameter. Answer: A number that describes a Population
characteristic
◉ Statistic. Answer: A number that describes a Sample characteristic
◉ Descriptive Statistics. Answer: Involves organizing, summarizing,
and displaying data. (Tables, Charts, Averages)
◉ Inferential Statistics. Answer: Involves using a sample data to
draw conclusions about a population.
, ◉ QuaLitative Data. Answer: Consists of attributes, labels, or non-
numerical entries
◉ QuaNtative Data. Answer: Numerical measurements or counts.
◉ Nominal Data (Lowest). Answer: Qualitative only; Uses names,
labels, or qualities; NO MATH computations can be made at this level
◉ Ordinal Data (2nd). Answer: Qualitative or Quantitative; Arranged
in order or ranked; Differences between data are not meaningful
◉ Interval Data (3rd). Answer: Quantitative data ONLY; Can be
ordered; Meaningful differences between data can be calculated; Not
an inherent Zero-Zero is just a position on a scale
◉ Ratio Data (Highest). Answer: Quantitative data ONLY; Can be
ordered; Meaningful differences between data can be calculated;
Iherent Zero-Zero means none, an absence of value
◉ Discrete Data. Answer: A random variable is discrete data if it has
a finite or countable number of possible outcomes that can be listed.
2026 TESTED QUESTIONS WITH FULL
ANSWERS
◉ Statistics. Answer: The science of collecting, organizing, analyzing,
and interpreting data in order to make decisions
◉ Population. Answer: The collection of all outcomes, responses,
measurements, or counts that are of interest.
◉ Sample. Answer: A subset of the population
◉ Parameter. Answer: A number that describes a Population
characteristic
◉ Statistic. Answer: A number that describes a Sample characteristic
◉ Descriptive Statistics. Answer: Involves organizing, summarizing,
and displaying data. (Tables, Charts, Averages)
◉ Inferential Statistics. Answer: Involves using a sample data to
draw conclusions about a population.
, ◉ QuaLitative Data. Answer: Consists of attributes, labels, or non-
numerical entries
◉ QuaNtative Data. Answer: Numerical measurements or counts.
◉ Nominal Data (Lowest). Answer: Qualitative only; Uses names,
labels, or qualities; NO MATH computations can be made at this level
◉ Ordinal Data (2nd). Answer: Qualitative or Quantitative; Arranged
in order or ranked; Differences between data are not meaningful
◉ Interval Data (3rd). Answer: Quantitative data ONLY; Can be
ordered; Meaningful differences between data can be calculated; Not
an inherent Zero-Zero is just a position on a scale
◉ Ratio Data (Highest). Answer: Quantitative data ONLY; Can be
ordered; Meaningful differences between data can be calculated;
Iherent Zero-Zero means none, an absence of value
◉ Discrete Data. Answer: A random variable is discrete data if it has
a finite or countable number of possible outcomes that can be listed.
