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TEST BANK| D772 STATISTICAL DATA
LITERACY OA FINAL WITH COMPLETE
300 REAL EXAM QUESTIONS AND
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Foundational Concepts & Study Design (Q 1-20)
Q1: A student is designing a survey for a project. Which question will result
in quantitative data?
• A) What is your favorite color?
• B) How much sleep do you get each night?
• C) What is your preferred brand of sneakers?
• D) Which political candidate do you support?
,,,answer,,,: B) How much sleep do you get each night?
Rationale: Quantitative data is numerical and can be measured or counted. "How
much sleep" requires a numerical ,,,answer,,, (e.g., 7 hours), making it quantitative.
The other options are categorical (qualitative) as they describe qualities or
characteristics .
,Q2: A psychologist splits participants into four groups and gives each a maze with a
different color. The time to solve the maze is recorded. What is the explanatory
variable?
• A) The time to solve the maze
• B) The specific maze color
• C) The participants' ages
• D) The difficulty of the maze
,,,answer,,,: B) The specific maze color
Rationale: The explanatory variable (independent variable) is the one manipulated
by the researcher to see if it causes an effect on the response variable (solve time).
Here, the maze color is what is being changed .
Q3: In a study on a new plant fertilizer, what is an example of a control group?
• A) Plants that receive a high dose of the fertilizer
• B) Plants that receive a low dose of the fertilizer
• C) Plants that do not receive the fertilizer
• D) Plants that are kept in a dark room
,,,answer,,,: C) Plants that do not receive the fertilizer
Rationale: The control group does not receive the experimental treatment. It
provides a baseline to compare against the groups that do receive the treatment .
Q4: The director of campus food services calls 500 random students. What is
the sample in this study?
• A) All students on campus
• B) The food preferences of students
• C) The 500 students called by the director
• D) The director of food services
,,,,answer,,,: C) The 500 students called by the director
Rationale: The sample is the specific subset of the population from which you
actually collect data. The population would be "all students on campus" .
Q5: A researcher wants to study the sleep habits of all college students in the US
but only surveys 1,000 students. What is the population?
• A) The 1,000 surveyed students
• B) The sleep habits of the students
• C) All college students in the US
• D) The survey method used
,,,answer,,,: C) All college students in the US
Rationale: The population is the entire, complete group that you want to draw
conclusions about. In this case, it is all college students in the United States .
Q6: What is a parameter in statistics?
• A) A numerical value describing a sample
• B) The actual values of the variables collected
• C) A numerical value describing an entire population
• D) The group selected for a study
,,,answer,,,: C) A numerical value describing an entire population
Rationale: A parameter is a measurable characteristic of a population, such as the
average height of every adult woman in the US. It is often unknown because
measuring everyone is impractical .
Q7: What is a statistic used for?
• A) To prove a hypothesis is true
• B) To describe a characteristic of a sample and estimate a population
parameter
• C) To list all the possible outcomes of an experiment
, • D) To identify the control group in an experiment
,,,answer,,,: B) To describe a characteristic of a sample and estimate a population
parameter
Rationale: Statistics are calculated from sample data and are used as estimators
for the corresponding population parameters, as gathering data from every member
of the population is usually impossible .
Q8: A study reports that "the average height of 100 adult women randomly selected
from the US is 5'4"." What is the statistic?
• A) All adult women in the US
• B) The method of random selection
• C) The average height of 5'4"
• D) The 100 adult women
,,,answer,,,: C) The average height of 5'4"
Rationale: A statistic is a number that describes a characteristic of a sample. The
sample is the 100 women, and their average height (5'4") is the descriptive
statistic .
Q9: What are the basic elements that make up a dataset?
• A) Mean, median, and mode
• B) Individuals, variables, and data
• C) Samples, populations, and parameters
• D) Surveys, experiments, and observations
,,,answer,,,: B) Individuals, variables, and data
Rationale: Every dataset has individuals (the objects described), variables (the
characteristics being measured), and data (the actual values of those variables) .
Q10: In a dataset, what are individuals?