STA 2023 Exam Questions & Answers
Bank 2026 | UF, FAU & FSU Practice
Tests with Verified Solutions
Complete STA 2023 Introduction to Statistics question bank covering all 800 Q&As
across 7 sections: descriptive statistics, probability, binomial/normal distributions,
confidence intervals, hypothesis testing, correlation/regression, ANOVA, and chi-
square tests. Each question includes 4 answer choices with correct answer in bold
italic and detailed rationale explaining the concept. Used by UF, FAU, FSU, Broward,
MDC, and NUST students. Covers Exam 1 (Ch 1-5), Exam 2 (Ch 6-8), Exam 3 (Ch 9-10),
and final. Perfect for practice tests, study guides, and exam prep. Includes 2023-2026
updated content with verified solutions. Great for self-study and peer tutoring. Save
time & boost your stats grade with this comprehensive Q&A bank. [4.2K+ downloads]
STA 2023 COMPLETE QUESTION BANK
Full Set Q&A 1–800
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Q1: Data Classification
Which of the following is an example of quantitative continuous data?
• A) The number of students in a classroom
• B) The zip code of a city
• C) The weight of a newborn baby in kilograms
• D) The brand name of a laptop
Rationale: Weight is quantitative continuous because it can take any value
within a range and is measured on a continuous scale. The number of students
is discrete, while zip codes and brand names are categorical.
Q2: Discrete vs. Continuous
Determine whether the given value is from a discrete or continuous data set:
"The number of stories in a Manhattan building is 22."
• A) Continuous
• B) Discrete
• C) Both discrete and continuous
• D) Neither
Rationale: The number of stories is countable and takes only integer values,
making it discrete. Continuous data would involve measurements like height or
weight.
Q3: Levels of Measurement
Data that can be classified according to color are measured on what scale?
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• A) Nominal
• B) Ordinal
• C) Interval
• D) Ratio
Rationale: Color represents names or labels without order or numerical
meaning, which defines the nominal scale of measurement.
Q4: Sampling Methods
When members from a population are selected such that each individual has an
equal chance of being selected, this is called a:
• A) Systematic sample
• B) Stratified sample
• C) Convenience sample
• D) Simple random sample
Rationale: Simple random sampling ensures every member of the population
has an equal probability of selection, reducing selection bias.
Q5: Parameter vs. Statistic
After inspecting all 55,000 kg of meat stored at a company, it was found that 45,000
kg was spoiled. This 45,000 kg represents a:
• A) Parameter
• B) Statistic
• C) Sample
• D) Variable
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Rationale: Since all 55,000 kg (the entire population) were inspected, the result
describes the population and is therefore a parameter.
Q6: Observational Study vs. Experiment
A quality control specialist compares output from a machine with a new lubricant to
output from machines with the old lubricant. This is a(n):
• A) Observational study
• B) Experiment
• C) Survey
• D) Case study
Rationale: An experiment involves imposing a treatment (the new lubricant)
and observing the effect. The specialist actively applies the treatment.
Q7: Class Width
The frequency distribution below summarizes employee years of service. Determine
the width of each class:
Years of service Frequency
1–5 5
6–10 20
• A) 4
• B) *5*
• C) 6
• D) 10