Free Epidemiology and Biostatistics MCQs with Answers

50 Epidemiology and Biostatistics MCQs from Community Health Nursing, each with the correct answer and a written explanation of why it is correct. Free and unlimited, with no account needed.

Epidemiology examines the distribution and causes of disease by person, place and time, using measures such as incidence, prevalence, mortality and case-fatality rates. Biostatistics covers data presentation, sampling, averages, variability, probability and interpretation of study results, while distinguishing association from causation.

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50 questions · page 1 of 3

  • A. Point prevalence
  • B. Incidence
  • C. Case-fatality rate
  • D. Proportional mortality

Explanation: Incidence measures new cases that develop in a population at risk during a defined time.

Correct answer: Incidence
  • A. Point prevalence
  • B. Cumulative incidence
  • C. Attack rate
  • D. Case-fatality rate

Explanation: Point prevalence is the proportion of a population with a condition at one specific point in time.

Correct answer: Point prevalence
  • A. Crude mortality rate
  • B. Incidence rate
  • C. Case-fatality rate
  • D. Proportional morbidity rate

Explanation: The case-fatality rate is the percentage of diagnosed patients who die from the disease.

Correct answer: Case-fatality rate
  • A. Convenience sampling
  • B. Systematic sampling
  • C. Purposive sampling
  • D. Cluster sampling

Explanation: Systematic sampling selects units at a fixed interval after a random start.

Correct answer: Systematic sampling
  • A. 110 mmHg
  • B. 120 mmHg
  • C. 130 mmHg
  • D. 150 mmHg

Explanation: The median is the middle value when observations are arranged in order. The third value in this ordered set is 120 mmHg.

Correct answer: 120 mmHg
  • A. Mean
  • B. Median
  • C. Arithmetic average
  • D. Weighted mean

Explanation: The median is based on the middle position and is less influenced by extreme observations.

Correct answer: Median
  • A. The study has a large sample size
  • B. The association remains after controlling for age and household crowding
  • C. The participants come from one hospital
  • D. The infection diagnosis is based on symptoms alone

Explanation: Controlling for potential confounding variables, such as age and household crowding, helps determine whether the observed association…

Correct answer: The association remains after controlling for age and household crowding
Hard
  • A. High sensitivity
  • B. High specificity
  • C. High positive predictive value
  • D. Low negative predictive value

Explanation: High sensitivity detects a large proportion of people who truly have the disease and produces few false-negative results.

Correct answer: High sensitivity
  • A. To describe disease distribution by person, place and time
  • B. To prove that one treatment caused recovery
  • C. To calculate the average height of the population
  • D. To replace laboratory confirmation of every case

Explanation: Describing cases by person, place and time helps identify patterns, clusters and possible sources of infection.

Correct answer: To describe disease distribution by person, place and time
Moderate
  • A. Umbrella use causes wet clothing
  • B. Wet clothing prevents umbrella use
  • C. The finding shows an association, not necessarily causation
  • D. The finding proves that rain has no effect

Explanation: The two factors are associated because both may be related to rainfall, which is a possible confounding factor.

Correct answer: The finding shows an association, not necessarily causation
  • A. Mortality rate
  • B. Case-fatality rate
  • C. Attack rate
  • D. Survival rate

Explanation: Mortality rate relates deaths to the total population during a stated time.

Correct answer: Mortality rate
Hard
  • A. Attack rate
  • B. Mortality rate
  • C. Prevalence rate
  • D. Case-fatality rate

Explanation: An attack rate is the proportion of an exposed group that develops illness during an outbreak.

Correct answer: Attack rate
  • A. 30 years
  • B. 35 years
  • C. 40 years
  • D. 45 years

Explanation: Add the ages and divide by the number of observations: 20 + 30 + 40 + 50 = 140, and 140 divided by 4 equals 35 years.

Correct answer: 35 years
  • A. Values are widely spread around the mean
  • B. Values are closely grouped around the mean
  • C. The sample contains no unusual values
  • D. The mean is equal to the median

Explanation: Standard deviation describes the spread of observations around the mean.

Correct answer: Values are widely spread around the mean
  • A. Bar graph
  • B. Histogram
  • C. Scatter plot
  • D. Line graph

Explanation: Blood group is a categorical variable, so separate bars can compare the number in each category.

Correct answer: Bar graph
  • A. Simple random sampling
  • B. Systematic sampling
  • C. Stratified sampling
  • D. Convenience sampling

Explanation: Each eligible household has an equal chance of selection when slips are mixed and drawn randomly.

Correct answer: Simple random sampling
Hard
  • A. Stratified random sampling
  • B. Cluster sampling
  • C. Purposive sampling
  • D. Snowball sampling

Explanation: Stratified sampling first divides the population into important subgroups and then samples from each subgroup.

Correct answer: Stratified random sampling
  • A. The difference is statistically significant
  • B. The treatments have identical effects
  • C. The study proves one treatment causes recovery
  • D. There is a 2% chance the data were collected

Explanation: Because 0.02 is less than 0.05, the result is statistically significant under the stated criterion.

Correct answer: The difference is statistically significant
  • A. The exposure is associated with higher risk
  • B. The exposure prevents hepatitis infection
  • C. The result proves the exposure causes infection
  • D. The exposure has exactly 1.8 times the risk in every person

Explanation: The relative risk above 1 indicates higher risk in the exposed group, and the interval does not include 1, supporting a statistically…

Correct answer: The exposure is associated with higher risk
  • A. Temporality cannot be established
  • B. The sample must contain only children
  • C. The result cannot show any association
  • D. The survey automatically proves causation

Explanation: Cross-sectional studies measure exposure and outcome at the same time, so they may not show which came first.

Correct answer: Temporality cannot be established

Epidemiology and Biostatistics MCQs: common questions

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