Methods Exam prep questions &
answers
Data that are measured on a naturally occurring numerical scale, such as temperature in degrees
Celsius. - correct answersQuantitative Data
Measurements that cannot be expressed numerically, such as categorical data like defective status. -
correct answersQualitative Data
The main variable measured in a study to determine its success, focusing on the key result of an
intervention. - correct answersPrimary Outcome Variable
The collection and presentation of data to describe the characteristics of individuals or groups under
study. - correct answersDescriptive Statistics
The analysis and interpretation of data, allowing for predictions or generalizations about a population
based on sample information. - correct answersInferential Statistics
The set of all units (people, objects, transactions, or events) that are of interest in a study. - correct
answersPopulation
A subset of the units of a population used for analysis. - correct answersSample
A characteristic or property of an individual experimental unit in a population, such as age or gender. -
correct answersVariable
The process of assigning numbers to variables of individual population units. - correct
answersMeasurement
A table that lists each data point along with the number of times it occurs (its frequency). - correct
answersFrequency Distribution
A graphical representation that summarizes categorical data, showing how various categories account
for proportions of the whole. - correct answersPie Chart
What are the four elements of a descriptive statistical problem? - correct answers1. The population or
sample of interest, 2. One or more variables to be investigated, 3. Tables, graphs, or numerical tools, 4.
Identification of patterns in the data.
What are the five elements of an inferential statistical problem? - correct answers1. The population or
sample of interest, 2. One or more variables to be investigated, 3. The sample of population units, 4. The
inference about the population based on the sample, 5. Measure of reliability of the inference.