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Straighterline Statistics Final Exam 2025/2026 – Complete Questions with 100% Verified Correct Answers and Detailed Explanations

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Straighterline Statistics Final Exam 2025/2026 – Complete Questions with 100% Verified Correct Answers and Detailed Explanations Prepared for Straighterline Introduction to Statistics Course Updated for 2025/2026 Academic Year Introduction This comprehensive study guide is tailored for the Straighterline Introduction to Statistics Final Exam for the 2025/2026 academic year. It features 100 meticulously crafted questions, each presented clearly and accompanied by verified correct answers and in-depth explanations. The questions span the core topics of the Straighterline curriculum, including descriptive statistics, probability, inferential statistics, regression, and data measurement. Designed to mirror the exam’s format and difficulty, this guide ensures students are well-prepared for the proctored final exam by providing detailed insights into each concept.

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Intro to Statistics
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Intro to Statistics

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Subido en
19 de julio de 2025
Número de páginas
22
Escrito en
2024/2025
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Examen
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Straighterline Statistics Final Exam
2025/2026 – Complete Questions
with 100% Verified Correct Answers
and Detailed Explanations Prepared for
Straighterline Introduction to Statistics Course Updated for
2025/2026 Academic Year




July 19, 2025

,Contents
1 Introduction 4

2 Question Categories 4

3 Questions, Answers, and Explanations 4
3.1 Descriptive Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.1.1 Question 1: What is the primary objective of descriptive statis-
tics in data analysis? . . . . . . . . . . . . . . . . . . . . . . . . . 4
3.1.2 Question 2: Which concept is not associated with descriptive
statistics? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3.1.3 Question 3: A survey of 200 employees rates a company’s
culture as follows: 15% excellent, 25% good, 40% average,
20% poor. What does this summary suggest about employee
perceptions? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3.1.4 Question 4: Calculate the mean of the dataset: 10, 12, 8, 15, 5. 5
3.1.5 Question 5: Determine the median of the dataset: 9, 3, 7, 1, 11. 5
3.1.6 Question 6: What is the standard deviation of the dataset: 2,
4, 6, 8, 10? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3.1.7 Question 7: Find the mode of the dataset: 5, 7, 7, 9, 10, 10, 10. 6
3.1.8 Question 8: What information does a box plot primarily con-
vey about a dataset? . . . . . . . . . . . . . . . . . . . . . . . . . 6
3.1.9 Question 9: If a dataset has a variance of 36, what is its stan-
dard deviation? . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
3.1.10 Question 10: What is the range of the dataset: 20, 14, 8, 25, 10? 6
3.1.11 Question 11: What is the interquartile range (IQR) of the
dataset: 1, 3, 5, 7, 9? . . . . . . . . . . . . . . . . . . . . . . . . . . 6
3.1.12 Question 12: What does a left-skewed distribution indicate
about a dataset? . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
3.1.13 Question 13: Calculate the variance of the dataset: 4, 6, 8, 10. 7
3.1.14 Question 14: What is the primary use of a histogram in data
analysis? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
3.1.15 Question 15: If a dataset has a mean of 15 and a median of
18, what is the likely shape of the distribution? . . . . . . . . . 7
3.1.16 Question 16: What is the coefficient of variation for a dataset
with a mean of 50 and a standard deviation of 5? . . . . . . . 7
3.1.17 Question 17: What is the purpose of a frequency table in
descriptive statistics? . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.1.18 Question 18: Calculate the midrange of the dataset: 12, 18,
24, 30, 36. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.1.19 Question 19: What does a high standard deviation indicate
about a dataset? . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.1.20 Question 20: What is the purpose of a stem-and-leaf plot? . . 8
3.2 Probability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
3.2.1 Question 21: What is the probability of rolling a 3 on a fair
six-sided die? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8



1

, 3.2.2 Question 22: If P(A) = 0.5 and P(B) = 0.6, and A and B are
independent, what is P(A and B)? . . . . . . . . . . . . . . . . . 9
3.2.3 Question 23: What is the probability of drawing a diamond
from a standard 52-card deck? . . . . . . . . . . . . . . . . . . . 9
3.2.4 Question 24: If P(A) = 0.7 and P(B) = 0.4, and A and B are
mutually exclusive, what is P(A or B)? . . . . . . . . . . . . . . 9
3.2.5 Question 25: What is the expected value of rolling a fair six-
sided die? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
3.2.6 Question 26: In a binomial experiment with n=5 and p=0.3,
what is the probability of exactly 2 successes? . . . . . . . . . 9
3.2.7 Question 27: What is the probability of getting at least one
head in three coin flips? . . . . . . . . . . . . . . . . . . . . . . . 9
3.2.8 Question 28: What is a defining characteristic of a normal
distribution? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
3.2.9 Question 29: If a random variable follows a normal distribu-
tion with mean 100 and standard deviation 15, what is the
z-score for a value of 115? . . . . . . . . . . . . . . . . . . . . . . 10
3.2.10 Question 30: What is the probability of a value lying within
one standard deviation of the mean in a normal distribution? 10
3.2.11 Question 31: What is the probability of drawing an ace from
a standard 52-card deck? . . . . . . . . . . . . . . . . . . . . . . 10
3.2.12 Question 32: If P(A) = 0.6 and P(B|A) = 0.5, what is P(A and B)? 10
3.2.13 Question 33: What is the probability of rolling a number
greater than 4 on a six-sided die? . . . . . . . . . . . . . . . . . 10
3.2.14 Question 34: In a binomial experiment with n=4 and p=0.4,
what is the probability of exactly 3 successes? . . . . . . . . . 11
3.2.15 Question 35: What is the probability of the complement of
an event with P(A) = 0.25? . . . . . . . . . . . . . . . . . . . . . . 11
3.2.16 Question 36: What is the probability of getting exactly two
heads in four coin flips? . . . . . . . . . . . . . . . . . . . . . . . 11
3.2.17 Question 37: What is the variance of a binomial distribution
with n=10 and p=0.2? . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.2.18 Question 38: What does a Poisson distribution model in prob-
ability? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11
3.2.19 Question 39: If a random variable is normally distributed
with mean 70 and standard deviation 10, what is P(X < 60)? . 11
3.2.20 Question 40: What is the probability of a value between one
and two standard deviations above the mean in a normal
distribution? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.3 Data Types and Measurement . . . . . . . . . . . . . . . . . . . . . . . . 12
3.3.1 Question 41: What level of measurement is used for ranking
students as first, second, or third in a competition? . . . . . . 12
3.3.2 Question 42: Which of the following variables is an example
of a nominal scale? . . . . . . . . . . . . . . . . . . . . . . . . . . 12
3.4 Inferential Statistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.5 Regression and Correlation . . . . . . . . . . . . . . . . . . . . . . . . . 18

4 Study Tips and Exam Preparation 21


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