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PUBH 6002 Biostatistical Applications for Public Health | 255 Practice Questions with Detailed Rationales | Comprehensive Exam Bank

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Master PUBH 6002 Biostatistical Applications for Public Health with this comprehensive 195-page exam question bank featuring 255 multiple-choice questions with detailed rationales. Perfect for MPH, DrPH, and public health graduate students preparing for comprehensive exams or course finals. Covers ALL essential biostatistics topics: FOUNDATIONS & DATA TYPES Parameters vs. Statistics, Variable Types (Nominal, Ordinal, Interval, Ratio) Continuous vs. Discrete Variables, Levels of Measurement DESCRIPTIVE STATISTICS & VISUALIZATION Mean, Median, Mode, Standard Deviation, Variance, IQR Histograms, Boxplots, Scatterplots, Stem-and-Leaf Plots Normal Distribution, Skewness, Coefficient of Variation PROBABILITY THEORY & DISTRIBUTIONS Conditional Probability, Independence, Bayes' Theorem Binomial, Poisson, Normal Distributions Central Limit Theorem, Z-scores, Standard Normal Distribution SAMPLING METHODS & STUDY DESIGN Simple Random, Stratified, Cluster, Convenience Sampling Case-Control, Cohort, Cross-Sectional Studies, RCTs Confounding, Selection Bias, Effect Modification HYPOTHESIS TESTING Null & Alternative Hypotheses, Type I & II Errors, Power P-values, Significance Levels, One-tailed vs. Two-tailed Tests Z-tests, t-tests (One-sample, Independent, Paired) ANOVA (One-way, Two-way, Repeated Measures) Chi-Square Tests (Independence, Goodness-of-Fit) Non-Parametric Tests (Wilcoxon, Kruskal-Wallis) CONFIDENCE INTERVALS & ESTIMATION CI for Means, Proportions, Margin of Error t-Distribution, Degrees of Freedom, Sample Size Calculation REGRESSION ANALYSIS Simple & Multiple Linear Regression Logistic Regression (Odds Ratios, Logit, MLE, ROC/AUC) Assumptions, Multicollinearity, VIF, Durbin-Watson EPIDEMIOLOGIC MEASURES Incidence, Prevalence, Odds Ratio, Risk Ratio Sensitivity, Specificity, PPV, NPV Survival Analysis (Kaplan-Meier, Cox Proportional Hazards) META-ANALYSIS Fixed vs. Random Effects, Publication Bias, Funnel Plots, I² Each question includes correct answer and comprehensive rationale explaining statistical concepts, calculations, and public health applications. Ideal for exam preparation, review sessions, or self-study

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Page 1 of 195


PUBH 6002: BIOSTATISTICAL APPLICATIONS
FOR PUBLIC HEALTH
COMPREHENSIVE EXAM QUESTION BANK
2026-2027 ACADEMIC YEAR | PREMIUM
EDITION | 250+ MULTIPLE-CHOICE
QUESTIONS

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# TABLE OF CONTENTS



| Section | Topic | Questions | Page |

|---------|-------|-----------|------|
| **1** | **Foundations of Biostatistics & Data Types** | 1–15 | 3 |

| **2** | **Descriptive Statistics & Data Visualization** | 16–35 | 7 |

| **3** | **Probability Theory & Distributions** | 36–60 | 12 |

| **4** | **Sampling Methods & Study Design** | 61–80 | 18 |

| **5** | **Confidence Intervals & Estimation** | 81–100 | 23 |

| **6** | **Hypothesis Testing Fundamentals** | 101–125 | 28 |
| **7** | **t-Tests & Comparing Means** | 126–145 | 34 |
| **8** | **Chi-Square Tests & Contingency Tables** | 146–165 | 39 |

| **9** | **Correlation & Linear Regression** | 166–190 | 44 |

| **10** | **ANOVA & Analysis of Covariance** | 191–210 | 51 |

| **11** | **Logistic Regression** | 211–230 | 56 |

| **12** | **Epidemiologic Measures & Advanced Topics** | 231–255 | 61 |

,Page 2 of 195



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# SECTION 1: FOUNDATIONS OF BIOSTATISTICS & DATA TYPES


---



**Question 1**

Which of the following best describes the primary purpose of biostatistics in public health?



A) To diagnose individual patients and prescribe treatment

B) To collect, analyze, and interpret data to inform health decisions at the population level
C) To replace clinical judgment with statistical algorithms

D) To exclusively focus on laboratory research findings



**Correct Answer: B**



**Rationale:** Biostatistics in public health serves to collect, analyze, and interpret data to
inform health decisions and policies at the population level. It provides the quantitative
foundation for understanding disease patterns, evaluating interventions, and guiding public
health action. Option A describes clinical medicine, not public health biostatistics. Option C is
incorrect because statistics complement, not replace, clinical judgment. Option D is too narrow;
biostatistics applies to all areas of public health, not just laboratory research.


**Distractor Analysis:**

- **A:** Confuses the population focus of public health biostatistics with individual patient care
in clinical medicine.

- **C:** Overstates the role of statistics and misrepresents the relationship between statistical
methods and clinical decision-making.

,Page 3 of 195

- **D:** Fails to recognize the broad application of biostatistics across epidemiology, health
services, environmental health, and other public health domains.



---



**Question 2**

In biostatistics, a **parameter** refers to:


A) A numerical summary of a sample
B) A numerical summary of a population

C) A categorical variable

D) The standard deviation of a dataset



**Correct Answer: B**


**Rationale:** A parameter is a numerical summary that describes a characteristic of an entire
population. In contrast, a statistic is a numerical summary computed from a sample and used to
estimate the corresponding population parameter. Option A defines a statistic, not a parameter.
Option C refers to a type of variable, not a parameter. Option D is a specific measure, not the
definition of a parameter.


**Distractor Analysis:**

- **A:** Describes a statistic, which is the sample-based counterpart to a parameter.

- **C:** Describes a variable type rather than a population summary measure.
- **D:** Is an example of a statistic or parameter (depending on context) but not the definition.



---


**Question 3**

, Page 4 of 195

A researcher collects data on the number of cigarettes smoked per day by study participants. This
variable is best classified as:



A) Nominal categorical

B) Ordinal categorical

C) Continuous quantitative

D) Discrete quantitative


**Correct Answer: D**


**Rationale:** The number of cigarettes smoked per day is a quantitative variable that takes on
countable, integer values (0, 1, 2, …). It is discrete because it cannot take fractional values in a
meaningful way. Option A is incorrect because the data are numerical counts, not categories.
Option B is incorrect because there is no inherent ordering of categories beyond the numerical
values themselves. Option C is incorrect because continuous variables can take any value within
a range, whereas cigarette counts are discrete.



**Distractor Analysis:**

- **A:** Misclassifies count data as categorical; counts have numerical meaning.
- **B:** While counts can be ordered, the variable is quantitative, not ordinal categorical.

- **C:** Continuous variables (e.g., weight, height) can take fractional values; cigarette counts
are whole numbers.



---



**Question 4**

Which of the following is an example of a **continuous** quantitative variable?


A) Blood type (A, B, AB, O)

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Institución
PUBH 6002
Grado
PUBH 6002

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Subido en
21 de julio de 2026
Número de páginas
195
Escrito en
2025/2026
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