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MATH 225N Statistics Final Exam 2026/2027 | Chamberlain College of Nursing Statistics Final Examination with Complete Questions & Verified Answers | Latest Version

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This document provides comprehensive preparation for the Chamberlain College of Nursing MATH 225N Statistics Final Examination, featuring complete questions with verified answers for the 2026/2027 academic cycle. It covers descriptive statistics, probability distributions, hypothesis testing, correlation and regression analysis, and statistical software applications according to current Chamberlain curriculum requirements and nursing research standards. This essential tool offers authentic exam simulation and systematic content review to ensure mastery of statistical principles and success on your Chamberlain nursing assessment.

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MATH 225N STATISTICS FINAL EXAM | 2026/2027
Chamberlain College of Nursing Statistics Final Examination with Complete Questions & Verified
Answers | Latest Version



Overview

This 2026/2027 updated resource contains the latest Chamberlain College of Nursing MATH
225N Statistics Final Examination with the exact 70 questions and verified answers, following
current Chamberlain curriculum standards, APA guidelines for statistical reporting, and evidence-based
statistical methods for healthcare research and data analysis.


Key Features

●​ ✓ Actual Chamberlain MATH 225N final exam format with the official 70 questions
●​ ✓ Comprehensive coverage of descriptive and inferential statistics applications in healthcare
●​ ✓ Updated 2026/2027 statistical software integrations (Excel, SPSS, R)
●​ ✓ Practical healthcare data analysis scenarios and interpretation exercises
●​ ✓ APA-style statistical reporting and research application standards


Core Content Areas (70 Total Questions)

●​ Descriptive Statistics & Data Visualization (20 Qs)
●​ Probability Distributions & Sampling Methods (15 Qs)
●​ Hypothesis Testing & Confidence Intervals (15 Qs)
●​ Correlation & Regression Analysis (12 Qs)
●​ Statistical Software Applications & Interpretation (8 Qs)


Detailed Content Breakdown

●​ Measures of Central Tendency & Variability (10 Qs)
●​ Graphical Displays & Data Visualization Techniques (8 Qs)
●​ Normal Distribution & Z-score Applications (8 Qs)
●​ Central Limit Theorem & Sampling Distributions (7 Qs)
●​ One-Sample & Two-Sample t-tests (8 Qs)
●​ ANOVA & Chi-Square Tests (7 Qs)
●​ Linear Regression & Correlation Coefficients (8 Qs)
●​ P-value Interpretation & Statistical Significance (8 Qs)
●​ Excel/SPSS Output Interpretation (6 Qs)


Answer Format

Correct answers are marked in bold green and include: - Step-by-step statistical calculations with
formulas - Statistical software output interpretation and validation - Healthcare research
scenario applications and conclusions - APA 7th edition statistical reporting standards -
Common statistical error identifications and corrections - Confidence interval
construction and interpretation


Updates for 2026/2027

●​ Reflects 2026-2027 Chamberlain MATH 225N curriculum revisions

, ●​ Enhanced integration of statistical software in healthcare analysis
●​ Updated guidelines for big data and electronic health record analysis
●​ New emphasis on health disparities and equity statistical measures
●​ Revised evidence-based practice statistical application standards
●​ Updated APA 7th edition statistical reporting requirements
●​ New quality improvement and patient safety statistical tools
●​ Revised nursing research statistical methodology standards




Chamberlain MATH 225N Statistics Final Exam – Full 70 Questions with Verified Answers
& Rationale

1. A nurse researcher collects the systolic blood pressure of 50 patients. The mean is 120
mmHg and the standard deviation is 15 mmHg. Assuming a normal distribution,
approximately what percentage of patients have systolic BP between 105 and 135 mmHg?


A. 50%


B. 68%


C. 95%


D. 99.7%


Rationale: 105 and 135 are one standard deviation below and above the mean (120 ± 15). In a normal
distribution, ~68% of data falls within ±1 SD (Empirical Rule).

2. Which measure of central tendency is most appropriate for skewed data?


A. Mean


B. Median


C. Mode


D. Range


Rationale: The median is resistant to outliers and skewness, making it the best measure of center for
non-symmetric distributions (e.g., income, hospital length of stay).

3. A histogram of patient wait times is right-skewed. What is true about the mean and
median?


A. Mean = Median

, B. Mean > Median


C. Mean < Median


D. Cannot be determined


Rationale: In a right-skewed (positively skewed) distribution, the mean is pulled toward the tail, so
Mean > Median.

4. What does a z-score of -1.5 indicate?


A. The value is 1.5 standard deviations above the mean


B. The value is 1.5 standard deviations below the mean


C. The value is the mean


D. The value is an outlier


Rationale: A z-score = (X - μ) / σ. A negative z-score means the value is below the mean. -1.5 = 1.5 SD
below.

5. In a study of 200 nurses, 120 reported using EHRs daily. What is the sample proportion?


A. 0.40


B. 0.60


C. 1.67


D. 80


Rationale: Sample proportion (p̂) = x / n = = 0.60.

6. Which graph is best for displaying the relationship between two quantitative variables?


A. Bar chart


B. Scatterplot


C. Pie chart


D. Histogram

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