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Biostatistics MCQs

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




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