Biostatistics MCQs 25 Score: 0 Attempted: 0/25 Subscribe 1. : Biostatistics is mainly concerned with: (A) Study of diseases only (B) Application of statistical methods to biological and health sciences (C) Study of physics in medicine (D) Study of chemistry of life 2. : In statistics, a population refers to: (A) A group of humans only (B) A sample of individuals (C) The entire set of individuals or observations of interest (D) Only animals in a study 3. : A subset of the population selected for study is called: (A) Variable (B) Parameter (C) Sample (D) Statistic 4. : Mean, median, and mode are examples of: (A) Measures of variability (B) Measures of central tendency (C) Hypothesis testing methods (D) Probability distributions 5. : Standard deviation is a measure of: (A) Central tendency (B) Correlation (C) Dispersion or spread of data (D) Sample size 6. : The most frequently occurring value in a dataset is called: (A) Mean (B) Median (C) Mode (D) Variance 7. : If the mean = median = mode, the distribution is: (A) Skewed (B) Normal (C) Bimodal (D) Uniform 8. : In hypothesis testing, the null hypothesis (H₀) usually states: (A) There is no significant difference (B) There is always a difference (C) The sample is biased (D) The test is invalid 9. : Type I error occurs when: (A) A true null hypothesis is rejected (B) A false null hypothesis is rejected (C) A false null hypothesis is accepted (D) The sample size is too small 10. : Type II error occurs when: (A) A false null hypothesis is accepted (B) A true null hypothesis is accepted (C) A true null hypothesis is rejected (D) The test statistic is too large 11. : The p-value in hypothesis testing represents: (A) The probability that null hypothesis is true (B) The probability of observing the result assuming null hypothesis is true (C) The sample size (D) The standard deviation 12. : A p-value less than 0.05 usually indicates: (A) Strong evidence against the null hypothesis (B) Null hypothesis is always true (C) No evidence against the null hypothesis (D) Large sample bias 13. : Which statistical test is used to compare means of two groups? (A) Chi-square test (B) T-test (C) ANOVA (D) Regression analysis 14. : ANOVA is used to: (A) Compare variance of two samples (B) Compare means of more than two groups (C) Test correlation between two variables (D) Estimate population proportion 15. : The correlation coefficient (r) ranges between: (A) –10 to +10 (B) –5 to +5 (C) –1 to +1 (D) 0 to +1 16. : A correlation coefficient (r = 0) means: (A) Strong relationship (B) No relationship (C) Perfect positive correlation (D) Perfect negative correlation 17. : A scatter plot is mainly used to show: (A) Central tendency (B) Relationship between two variables (C) Frequency distribution (D) Hypothesis testing 18. : The chi-square test is used for: (A) Comparing means (B) Testing association between categorical variables (C) Measuring dispersion (D) Estimating variance 19. : Regression analysis is used to: (A) Compare two groups (B) Predict one variable based on another (C) Test randomness of sample (D) Measure standard deviation 20. : Which graph is best suited to show frequency distribution of data? (A) Line graph (B) Histogram (C) Scatter plot (D) Pie chart 21. : In biostatistics, prevalence refers to: (A) Number of new cases in a population (B) Number of existing cases in a population at a given time (C) Mortality rate (D) Risk factor analysis 22. : Incidence rate measures: (A) Number of deaths in a population (B) Number of new cases in a given period (C) Total population size (D) Exposure to risk factors 23. : Which sampling method gives every individual an equal chance of being selected? (A) Stratified sampling (B) Random sampling (C) Cluster sampling (D) Convenience sampling 24. : The standard error of the mean decreases when: (A) Sample size increases (B) Sample size decreases (C) Variance increases (D) Data are skewed 25. : The 95% confidence interval means: (A) 95% of population values are correct (B) There is 95% chance the true population parameter lies within the interval (C) 95% of the data is error-free (D) The null hypothesis is true 95% of the time