**901. Which method used to examine inflation rate anticipation, unemployment rate, and capacity utilisation to produce products?**

A. Data exporting technique

B. Data importing technique**C. Forecasting technique**

D. Data supplying technique

**902. Specialised processes such as graphical and numerical methods are utilised in which of the following?**

A. Education statistics**B. Descriptive statistics**

C. Business statistics

D. Social statistics

**903. What is the scale applied in statistics, which imparts a difference of magnitude and proportions, is considered as?**

A. Exponential scale

B. Goodness scale**C. Ratio scale**

D. Satisfactory scale

**904. Review of performance appraisal, labour turnover rates, planning of incentives, and training programs are the examples of which of the following?**

A. Statistics in production

B. Statistics in marketing

C. Statistics in finance**D. Statistics in personnel management**

**905. The runs scored by a batsman in 5 ODIs are 31,97,112, 63, and 12. The standard deviation is**

A. 24.79

B. 23.79**C. 25.79**

D. 26.79

**906. Which of the following mentioned standard Probability density functions is applicable to discrete Random Variables?**

A. Gaussian Distribution**B. Poisson Distribution**

C. Rayleigh Distribution

D. Exponential Distribution

**907. What is the area under a conditional Cumulative density function?**

A. 0

B. Infinity**C. 1**

D. Changes with CDF

**908. When do the conditional density functions get converted into the marginally density functions?**

A. Only if random variables exhibit statistical dependency**B. Only if random variables exhibit statistical independency**

C. Only if random variables exhibit deviation from its mean value

D. If random variables do not exhibit deviation from its mean value

**909. Mutually Exclusive events ___________**

A. Contain all sample points

B. Contain all common sample points

C. Does not contain any sample point**D. Does not contain any common sample point**

**910. What would be the probability of an event āGā if H denotes its complement, according to the axioms of probability?**

A. P (G) = 1 / P (H)**B. P (G) = 1 ā P (H)**

C. P (G) = 1 + P (H)

D. P (G) = P (H)