MATH 225N STATISTICS FINAL EXAM
CHAMBERLAIN COLLEGE OF NURSING
TEST BANK 2026 UPDATED QUESTIONS
AND ANSWERS GRADED A+
⩥ 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.
CHAMBERLAIN COLLEGE OF NURSING
TEST BANK 2026 UPDATED QUESTIONS
AND ANSWERS GRADED A+
⩥ 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.
