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Statistics and Probability – Complete Exam Questions with Correct Answers and Explanations (2025 Updated, A+ Rated Review)

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This document offers a complete and up-to-date (2025) collection of essential questions and answers in Statistics and Probability, with clear and accurate explanations. It covers all major topics including variables, data distribution, standard deviation, probability rules, binomial and normal distributions, hypothesis testing, confidence intervals, and the Central Limit Theorem. Ideal for students preparing for exams, quizzes, or coursework in any introductory statistics course. Designed for clarity and accuracy, all answers are A+ rated and aligned with current academic standards

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STAT 503
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Institution
STAT 503
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STAT 503

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Uploaded on
May 20, 2025
Number of pages
10
Written in
2024/2025
Type
Exam (elaborations)
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Questions & answers

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Statistics & Probability (STATS 503) – Complete
Questions, Correct Answers, and Explanations
For Final Exam.

Q1: Is a quantitative variable always measured in numbers?
Answer: Yes
Explanation: Quantitative variables represent measurable quantities and are
always expressed numerically (e.g., height, weight, temperature).


Q2: Is any measurement that you record from a sample a variable?
Answer: False
Explanation: A variable is a characteristic that can vary across individuals. A
measurement is a specific value of a variable, not the variable itself.


Q3: What is a statistic?
Answer: The measure that is taken from the whole sample as a summary of
the sample
Explanation: A statistic is a numerical summary calculated from sample
data, used to estimate population parameters.


Q4: If sample data is skewed to the left, where is the longer tail?
Answer: Left
Explanation: Left-skewed data has a longer tail on the left (negative) side of
the distribution curve.

, Q5: What is sensitive to outliers?
Answer: Mean
Explanation: The mean is highly influenced by extreme values, making it
sensitive to outliers. (Note: The original answer says median, which is
incorrect.)


Q6: Formula to calculate standard deviation:
Answer: s = √[Σ(xᵢ - ̄ x)² / (n - 1)]
Explanation: This is the sample standard deviation formula; it measures the
spread of data around the mean.


Q7: How to calculate degrees of freedom in a sample?
Answer: n - 1
Explanation: One degree of freedom is lost when estimating the mean from
the data, hence n - 1.


Q8: What is the first quartile (Q1)?
Answer: Median of lower half
Explanation: Q1 is the value that separates the lowest 25% of the data.


Q9: What is the third quartile (Q3)?
Answer: Median of upper half
Explanation: Q3 marks the 75th percentile, separating the top 25% from the
rest.

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