QUANTITATIVE ANALYSIS FOR BUSINESS
2026 FINAL ASSESSMENT TESTED
CONTENT WITH ACCURATE SOLUTIONS
◉ Standard Deviation. Answer: -square root of variance
-common measure of consistency in business applications, such as
quality control
-measures the amount of variance around the mean
◉ Law of large numbers. Answer: states that when an experiment is
conducted a large number of times, the empirical probabilities of the
process will converge to the classical probabilities
◉ Subjective Data. Answer: Obtained through surveys and
interviews, are considered non-measurable, though marketing
research has developed ways to study the intensity of opinions that
guide consumer behavior. Subjective data typically include personal
perceptions, such as likes, dislikes, attitudes, and opinions.
◉ Objective Data. Answer: Objective data are measurable and
typically arise from observation or testing in business areas like
sales, operations, manufacturing, and logistics. Data must be valid:
, that is, the data must accurately represent the true business
relationship at hand. Further, the data must be reliable: if we sought
to characterize a particular business relationship by gathering data
several different times (different samples), the data would reflect
the relationship the same way with every sample.
◉ Examples of quantitative analysis include.... Answer: cost-benefit
analysis, inventory analysis, logistical analysis, and forecasting
revenue.
◉ Steps in Quantitative Analysis. Answer: 1. Define problem.
2. Develop mathematical model.
3. Prepare and input data.
4. Find best solution.
5. Test solution.
6. Analyze results.
7. Implement solution.
◉ quantitative analysis. Answer: Ensuring the use of valid, reliable,
and objectively measurable data in order to understand a
phenomenon
◉ dependent variable. Answer: A dependent variable is the variable
that is being measured, or affected.
2026 FINAL ASSESSMENT TESTED
CONTENT WITH ACCURATE SOLUTIONS
◉ Standard Deviation. Answer: -square root of variance
-common measure of consistency in business applications, such as
quality control
-measures the amount of variance around the mean
◉ Law of large numbers. Answer: states that when an experiment is
conducted a large number of times, the empirical probabilities of the
process will converge to the classical probabilities
◉ Subjective Data. Answer: Obtained through surveys and
interviews, are considered non-measurable, though marketing
research has developed ways to study the intensity of opinions that
guide consumer behavior. Subjective data typically include personal
perceptions, such as likes, dislikes, attitudes, and opinions.
◉ Objective Data. Answer: Objective data are measurable and
typically arise from observation or testing in business areas like
sales, operations, manufacturing, and logistics. Data must be valid:
, that is, the data must accurately represent the true business
relationship at hand. Further, the data must be reliable: if we sought
to characterize a particular business relationship by gathering data
several different times (different samples), the data would reflect
the relationship the same way with every sample.
◉ Examples of quantitative analysis include.... Answer: cost-benefit
analysis, inventory analysis, logistical analysis, and forecasting
revenue.
◉ Steps in Quantitative Analysis. Answer: 1. Define problem.
2. Develop mathematical model.
3. Prepare and input data.
4. Find best solution.
5. Test solution.
6. Analyze results.
7. Implement solution.
◉ quantitative analysis. Answer: Ensuring the use of valid, reliable,
and objectively measurable data in order to understand a
phenomenon
◉ dependent variable. Answer: A dependent variable is the variable
that is being measured, or affected.
