BIOSTATISITCS AND RESEARCH METHODOLOGY MCQs with Answer | Topic-wise

Topic-wise MCQs with answers for BIOSTATISITCS AND RESEARCH METHODOLOGY, covering descriptive and inferential statistics, probability distributions, parametric and non-parametric tests, sampling, experimental design, clinical trials, software-based analysis, and pharmaceutical research methodology.

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Introduction to Statistics and Biostatistics MCQs With Answer

BIOSTATISITCS AND RESEARCH METHODOLOGY • 30 MCQs

BIOSTATISITCS AND RESEARCH METHODOLOGY MCQs with Answer | Topic-wise

Introduction to Statistics and Biostatistics MCQs With Answer

Concept and importance of Biostatistics in Pharmacy MCQs With Answer

Frequency distribution and graphical representation of data MCQs With Answer

Measures of central tendency – mean, median, mode MCQs With Answer

Pharmaceutical examples for measures of central tendency MCQs With Answer

Measures of dispersion – range, standard deviation and variance MCQs With Answer

Pharmaceutical problems involving dispersion MCQs With Answer

Correlation – definition and significance MCQs With Answer

Karl Pearson’s coefficient of correlation MCQs With Answer

Multiple correlation – calculation and pharmaceutical applications MCQs With Answer

Regression analysis – concept and curve fitting by least squares MCQs With Answer

Fitting of regression lines y = a + bx and x = a + by MCQs With Answer

Multiple regression and standard error of regression MCQs With Answer

Pharmaceutical applications of regression analysis MCQs With Answer

Probability – definition, rules and applications in pharmacy MCQs With Answer

Binomial, normal and Poisson distributions – properties and examples MCQs With Answer

Sample and population concepts in statistical studies MCQs With Answer

Types of sampling – random, stratified, systematic and cluster MCQs With Answer

Errors in hypothesis testing – type I and type II errors MCQs With Answer

Standard error of mean (SEM) – calculation and interpretation MCQs With Answer

Parametric tests – t-test (sample, unpaired and paired) MCQs With Answer

ANOVA – one-way and two-way analysis MCQs With Answer

Least significant difference (LSD) method MCQs With Answer

Non-parametric tests – Wilcoxon Rank Sum Test MCQs With Answer

Mann–Whitney U test and its applications MCQs With Answer

Kruskal–Wallis test and Friedman test MCQs With Answer

Introduction to research and need for experimentation MCQs With Answer

Design of experiments – basic concepts and objectives MCQs With Answer

Plagiarism – definition, types and avoidance MCQs With Answer

Graphical methods – histogram, pie chart, cubic graph MCQs With Answer

Response surface plot and contour plot representation MCQs With Answer

Designing research methodology and sample size determination MCQs With Answer

Power of a study and statistical significance MCQs With Answer

Report writing and presentation of statistical data MCQs With Answer

Protocol development for research studies MCQs With Answer

Cohort, observational and experimental study designs MCQs With Answer

Clinical trial design and various phases of clinical trials MCQs With Answer

Blocking and confounding in two-level factorial design MCQs With Answer

Regression modeling – simple and multiple regression hypothesis testing MCQs With Answer

Statistical analysis using Excel, SPSS, MINITAB® and R software MCQs With Answer

Application of online statistical tools in industrial and clinical trials MCQs With Answer

Design and analysis of experiments – concept and steps MCQs With Answer

Factorial design – definition, 2² and 2³ designs MCQs With Answer

Advantages and pharmaceutical applications of factorial design MCQs With Answer

Response surface methodology – central composite design MCQs With Answer

Historical design and optimization techniques MCQs With Answer