UPSC Indian Statistical Service (ISS) MCQs - Page 2
Prepare for the UPSC Indian Statistical Service (ISS) exam with a comprehensive collection of multiple-choice questions (MCQs). These MCQs cover crucial topics such as Statistics, General Studies, and Data Interpretation, aligned with the actual exam pattern. Practicing these questions will help aspirants improve their analytical skills, boost problem-solving abilities, and enhance time management for the exam. Whether you're revising key concepts or testing your knowledge, these ISS MCQs are an invaluable resource for cracking the UPSC Indian Statistical Service exam and securing a prestigious role in Indiaβs statistical agencies.
Q21. Which distribution is used to model number of successes in fixed number of independent Bernoulli trials?
A. Normal distribution
B. Poisson distribution
C. Binomial distribution
D. Exponential distribution
π View Explanation
Q22. Which test is used to compare means of two independent samples?
A. Chi-square test
B. Z-test
C. T-test
D. F-test
π View Explanation
Q23. What is the full form of βANOVAβ?
A. Analysis of Variables
B. Analysis of Variance
C. Analysis of Various
D. Analysis of Values
π View Explanation
Q24. Which of these is a measure of dispersion?
A. Median
B. Mean
C. Standard deviation
D. Mode
π View Explanation
Q25. Which data type does βordinalβ data represent?
A. Categorical with order
B. Nominal
C. Numeric
D. Continuous
π View Explanation
Q26. In time series, βseasonal variationβ means:
A. Long-term trend
B. Irregular fluctuations
C. Regular pattern within a year
D. Random noise
π View Explanation
Q27. Which software is widely used for statistical analysis?
A. MS Word
B. SPSS
C. Notepad
D. Photoshop
π View Explanation
Q28. Which method is used to estimate population parameter from sample statistics?
A. Hypothesis testing
B. Estimation
C. Sampling
D. Regression
π View Explanation
Q30. What is the purpose of βBayes Theoremβ?
A. Calculate conditional probability
B. Estimate mean
C. Measure spread
D. Test correlation
π View Explanation
Q31. Sampling technique in which every element has equal chance of selection is:
A. Stratified sampling
B. Random sampling
C. Cluster sampling
D. Systematic sampling
π View Explanation
Q33. What is heteroscedasticity in regression analysis?
A. Constant variance of errors
B. Non-constant variance of errors
C. Correlation of errors
D. Zero variance
π View Explanation
Q34. Which of the following is a descriptive statistic?
A. Regression coefficient
B. Mean
C. P-value
D. Test statistic
π View Explanation
Q35. Which test checks the goodness of fit?
A. T-test
B. F-test
C. Chi-square test
D. Z-test
π View Explanation
Q36. Which is the measure of relationship strength between two variables?
A. Covariance
B. Correlation coefficient
C. Variance
D. Mean
π View Explanation
Q37. Linear models assume:
A. Non-linearity
B. Additive effects
C. Multiplicative effects
D. Random design
π View Explanation
Q38. In statistical inference, a Type I error is:
A. Rejection of true null hypothesis
B. Incorrect acceptance of null
C. Data entry mistake
D. Measurement error
π View Explanation
Q39. Which is NOT a measure of central tendency?
A. Median
B. Mode
C. Variance
D. Mean
π View Explanation
Q40. Which method is used to solve simultaneous linear equations?
A. Matrix method
B. Integration
C. Differentiation
D. Interpolation
π View Explanation