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QMB3200 Midterm Exam Questions and Answers 100% Solved | Graded A+

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QMB3200 Midterm Exam Questions and Answers 100% Solved | Graded A+ Dataset - all the data collected for a particular analysis. Element - the entity on which data is collected. Observation - the variables associated with an individual element. Variable - a characteristic of interest of an element. Categorical Data - use numeric or ordinal values of measurement of categories. Cross-Sectional Data - data collected at a similar point in time. Time Series - data collected over several time periods. Panel - combination of cross-sectional and time series data. Population - is the set of all data/variables of a statistical analysis. Sample - subset of the population. Frequency Formula - =countif(highlight column, select cell) Percent Frequency - =cell/sum(cell range) Descriptive Analytics - which describe what has happened in the past

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QMB3200 Midterm Exam Questions and

Answers 100% Solved | Graded A+


Dataset - ✔✔all the data collected for a particular analysis.

Element - ✔✔the entity on which data is collected.

Observation - ✔✔the variables associated with an individual element.

Variable - ✔✔a characteristic of interest of an element.

Categorical Data - ✔✔use numeric or ordinal values of measurement of

categories.

Cross-Sectional Data - ✔✔data collected at a similar point in time.

Time Series - ✔✔data collected over several time periods.

Panel - ✔✔combination of cross-sectional and time series data.

Population - ✔✔is the set of all data/variables of a statistical analysis.

Sample - ✔✔subset of the population.

Frequency Formula - ✔✔=countif(highlight column, select cell)

Percent Frequency - ✔✔=cell/sum(cell range)

Descriptive Analytics - ✔✔which describe what has happened in the past.

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©NINJANERD 2025/2026. YEAR PUBLISHED 2025.

, Predictive Analytics - ✔✔uses statistical models from past data to predict

the future forecasting or access the impact of one variable on another

inference.

Prescriptive Analytics - ✔✔uses models seeking to find a best optimal

solution. Often these are some type of optimization model.

Veracity - ✔✔the reliability of the data generated.

Data Mining - ✔✔Focuses on extracting predictive information from big

data.

Big Data - ✔✔Volume

Velocity

Variety

Veracity

Frequency Distribution - ✔✔a tabular summary of data showing the number

(i.e. frequency) of observations in each of several non over-lapping

categories.

Relative Frequency - ✔✔frequency of a class/ n of a class.

Cumulative Distribution - ✔✔shows the proportion of data items with values

less than or equal to the upper limit of each class.



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©NINJANERD 2025/2026. YEAR PUBLISHED 2025.

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