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MATH 225N Statistical Reasoning for Health Sciences: Full Comprehensive Final Exam - Questions with Answers and Rationales (January 2027 Administration)

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This comprehensive document is a complete MATH 225N Statistical Reasoning for Health Sciences final exam preparation resource containing 150 multiple-choice questions with detailed answer rationales. It covers all major statistical reasoning content areas organized into six sections: Descriptive Statistics (questions 1-25) covering measures of central tendency (mean, median, mode), measures of dispersion (range, variance, standard deviation, interquartile range), percentiles, z-scores, coefficient of variation, empirical rule, skewness, box plots, histograms, data types (nominal, ordinal, interval, ratio), and resistant measures; Probability (questions 26-50) covering basic probability rules, binomial distribution, Poisson distribution, normal distribution, conditional probability, independence, mutually exclusive events, odds, sensitivity/specificity/PPV/NPV, diagnostic test characteristics, and Bayes theorem; Sampling Distributions and Confidence Intervals (questions 51-75) covering Central Limit Theorem, standard error, margin of error, confidence intervals for means and proportions, sample size determination, t-distribution, degrees of freedom, interpretation of confidence intervals, factors affecting interval width, and z-critical values; Hypothesis Testing (questions 76-110) covering null and alternative hypotheses, Type I and Type II errors, p-values, significance levels, power of a test, one-tailed vs. two-tailed tests, t-tests (one-sample, independent, paired), chi-square tests of independence, ANOVA (analysis of variance), post-hoc tests, assumptions of tests, and proportion z-tests; Correlation and Regression (questions 111-130) covering Pearson correlation coefficient, coefficient of determination (R²), simple linear regression, slope and intercept interpretation, least squares criterion, residuals, multiple regression, adjusted R², multicollinearity, logistic regression, odds ratio interpretation, and residual plots; and Epidemiology and Clinical Applications (questions 131-150) covering relative risk, odds ratio, sensitivity, specificity, positive and negative predictive values, prevalence impact on PPV, number needed to treat (NNT), absolute risk reduction, survival analysis, Kaplan-Meier curves, censoring, confounding, effect modification, randomization, ROC curves, AUC interpretation, publication bias, intention-to-treat analysis, and clinical vs. statistical significance. Each question includes a clear rationale explaining the correct answer and why other options are incorrect, making this an essential study resource for health sciences students preparing for the MATH 225N final exam, nursing statistics courses, or healthcare research methodology assessments.

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MATH 225N STATISTICAL REASONING FOR
HEALTH SCIENCES FULL
COMPREHENSIVE FINAL EXAM (3
CREDITS),COURSE CONTENT FOR A
JANUARY 2027 ADMINISTRATION
QUESTIONS AND ANSWERS WITH
RATIONALES


Section 1: Descriptive Statistics (Questions 1–25)

1. A nurse records patient ages: 34, 45, 56, 45, 38, 45, 50. The range is:
A) 11
B) 22
C) 45
D) 56

Answer: B) 22
*Rationale: Range = max(56) − min(34) = 22.*

2. The interquartile range (IQR) measures:
A) The middle 50% of data
B) Total spread
C) Average deviation
D) Skewness

Answer: A) The middle 50% of data

,*Rationale: IQR = Q3 − Q1, robust to outliers.*



3. A health researcher measures the resting heart rates (bpm) of 15 patients: 68, 72, 65, 70, 74, 68,
69, 71, 73, 68, 72, 70, 66, 69, 71. What is the mode?
A) 68
B) 70
C) 71
D) 72

Answer: A) 68
Rationale: 68 appears three times, more than any other value.

4. Which measure of central tendency is most affected by outliers in a clinical data set?
A) Median
B) Mode
C) Mean
D) Range

Answer: C) Mean
Rationale: The mean uses all data points, so extreme values pull it away from the center.

5. For the data set above (Q1), calculate the median. A) 68
B) 69

C) 70
D) 71

Answer: C) 70
Rationale: Sorted: 65,66,68,68,68,69,69,70,70,71,71,72,72,73,74. Middle (8th) is 70.




Section 1: Descriptive Statistics (continued)

,6. In a normal distribution of blood pressure readings, approximately what percentage lies within
±1 standard deviation of the mean?

A) 50%

B) 68%

C) 95%

D) 99.7%


Answer: B) 68%

Rationale: Empirical rule: 68% within ±1σ, 95% within ±2σ, 99.7% within ±3σ.


7. The variance of a sample is calculated by dividing the sum of squared deviations by:

A) n

B) n − 1

C) n + 1

D) √n


Answer: B) n − 1

Rationale: Bessel’s correction uses n−1 for unbiased sample variance.


8. A dataset has mean 100 and standard deviation 15. The coefficient of variation (CV) is:

A) 15%

B) 6.67%

C) 85%

D) 150%

Answer: A) 15%

Rationale: CV = (σ/μ)100% = (15/100)*100% = 15%.*


9. Which of the following is NOT a measure of central tendency?

, A) Mean

B) Median

C) Mode

D) Standard deviation


Answer: D) Standard deviation

Rationale: Standard deviation measures spread, not center.


10. A box plot shows the median at 75, Q1 at 60, Q3 at 90. The IQR is:

A) 15

B) 30

C) 75

D) 90


Answer: B) 30

*Rationale: IQR = Q3 − Q1 = 90 − 60 = 30.*

11. In a positively skewed distribution of hospital stay days, the relationship between mean,
median, and mode is: A) Mean < Median < Mode B) Mean > Median > Mode

C) Mean = Median = Mode

D) Mode > Mean > Median


Answer: B) Mean > Median > Mode

Rationale: Positive skew pulls mean to the right.


12. A patient’s cholesterol level is 220 mg/dL. The population mean is 200, SD=20. What is the z-
score?

A) 0.5

B) 1.0

C) 1.5

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