A. Frequency
B. Mid Value
C. Class Interval
D. Cumulative Frequency
A. Frequency
A. Census method
B. Sampling method
C. Random method
D. Stratummethod
A. Census method
A. Primary data
B. Secondary data
C. Internal data
D. External data
B. Secondary data
A. The data are positive as well as negative
B. The data are in ratios or percentages
C. Thedataarebinary
D. Thedataareonintervalscale
B. The data are in ratios or percentages
A. 9,6
B. 9,5
C. 7,6
D. 4,9
D. 4,9
A. Median
B. Mode
C. Mean
D. Quartiles
C. Mean
A. Q.D
B. M.D
C. Range
D. S.D
B. M.D
A. Mean
B. Median
C. Mode
D. G.M
B. Median
A. 0
B. 1
C. Infinity
D. N
A. 0
A. Sampling
B. Segregating
C. Dividing
D. Implanting
A. Sampling
A. Mutually Exclusive
B. Exhaustive
C. Equally Likely
D. Independent
A. Mutually Exclusive
A. 0
B. 1
C. -1
D. N
B. 1
A. Scatter diagram
B. Karl Pearson coefficient of correlation
C. Spearman’s rank correlation
D. Coefficient of concurrent deviation method
A. Scatter diagram
A. Bi-variate data
B. Uni-variate data
C. Multi-variatedata
D. Simpledata
A. Bi-variate data
A. One Tailed
B. Two Tailed
C. Left Tailed
D. Right Tailed
B. Two Tailed
A. 1-α
B. α
C. β
D. 1–β
B. α
A. Critical Region
B. Test statistics
C. Type-I Error
D. Acceptance Region
D. Acceptance Region
A. Mention the constraints
B. Identify the decision variables
C. Write the objective function
D. Explicitly state the non-negativity restriction
B. Identify the decision variables
A. Three
B. Four
C. Two
D. Five
A. Three
A. Linux and Unix
B. DOS and Mac OSX
C. MS PowerPoint and word
D. MS windows and opera
C. MS PowerPoint and word
A. Personal computer
B. Workstation
C. Mainframe
D. Minicomputer
D. Minicomputer
A. Hard drive
B. CPU
C. Monitor
D. Projector
B. CPU
A. .xlsx
B. .pptx
C. .txt
D. .docx
D. .docx
A. Title bar
B. Status bar
C. Quick bar
D. File menu bar
B. Status bar