Content
Chapter 1: General Statistics
1.1 Explain what is Statistics?
1.2 Explain what is meant by the term Population?
1.3 What is meant by the sample?
1.4 Explain what a parameter is?
1.5 What are the methods used as Data Collection Tools in medical research?
1.6 Graphical representation (Bar, Line, Pie, Box, Scatter, Histogram)
Chapter 2: Probability
2.1 What do you understand by Probability?
2.2 What is meant by the Sample space and Event?
2.3 What is the concept of Central limit Theorem?
Chapter 3: Study Sample
3.1 What do you understand by Sampling Method?
3.2 Explain different types of study?
3.3 How to calculate sample size in a different scenario?
3.4 What do you understand by randomization and blinding in a clinical study?
3.5 How are two proportion compared between independent sample?
Chapter 4: Descriptive Statistics & Measures of Central Tendency
4.1 Describe the descriptive statistics and inferential statistics. Illustrate with an example.
4.2 Define Frequency distribution and how to calculate Mean, Median, Mode?
4.3 What do you understand by Measures of variability?
4.4 Define Range, variance, standard deviation?
Chapter 5: Distribution & Estimation
5.1 What is Normal Distribution? What does the mean of Z score?
5.2 How to identify the Outliers?
5.3 Define Skewness and Kurtosis test?
5.4 Explain what is estimation? Confidence interval, what does it mean?
5.5 How are two proportion compared between independent sample?
Chapter 6: Validity & Reliability
6.1 How data should be valid and reliable?
6.2 What is the difference between Factor & Cluster Analysis?
Chapter 7: Hypothesis Testing
7.1 What is Hypothesis testing in research methodology?
7.2 How do you determine the level of significance?
7.3 Enumerate different types of research methodologies.
Chapter 8: Correlation & Regression
8.1 How to find Correlation coefficient for categorical and non-catagorical data?
8.2 How to compute the coefficient of Linear Regression with help of analytical method?
Chapter 9: Statistical Test
9.1 Describe sensitivity and specificity as diagnostic statistical tests?
9.2 How to interpret Parametric and Non-parametric test?
9.3 Differentiate one sample, independent sample and paired sample t-test?
9.4 Describe Anova test. (One way, two way, multivariate ANOVA)
9.5 How do you find chi-square test? When is chi square test used in research?
9.6 Describe one sample Kolmogorov-Smirnov test?
9.7 Is there a difference between the number of cigarettes smoked per day between the sexes? Describe Mann-Whitney U test?
9.8 How to analyze multiple ordered data? Describe Friedman test?
9.9 Performs survival analysis and generates a Kaplan-Meier survival plot.
Chapter 10: Questionnaire Design
10.1 How to design questionnaire with Example?
10.2 How to prepare master sheet using excel?