Explore topic-wise MCQs in Graduate Aptitude Test (GATE).

This section includes 39 Mcqs, each offering curated multiple-choice questions to sharpen your Graduate Aptitude Test (GATE) knowledge and support exam preparation. Choose a topic below to get started.

1.

To specify different curves in an angle histogram plot, we use the _________ function.

A. legend
B. display
C. gtext()
D. mtext
Answer» B. display
2.

A cubic system can be represented using the function ____

A. plot3
B. stem()
C. display
D. legend
Answer» B. stem()
3.

To display the runs scored by a batsman towards different directions in a field, one uses

A. Bar graph
B. Angle histogram
C. Histogram
D. No graph is suitable
Answer» B. Angle histogram
4.

To display the partnership of 3 batsman with one batsman, one uses _________

A. Bar-graph
B. Histogram
C. Pie plot
D. Cannot be displayed
Answer» C. Pie plot
5.

What is the difference between stem plot and histogram plot?

A. No difference
B. Histogram does not have negative values while stem may have negative values
C. Histogram cannot relate 3 variable while stem can
D. Histogram cannot be created in MATLAB
Answer» C. Histogram cannot relate 3 variable while stem can
6.

What would you use to show comparisons of profit of 3 industries over 3 quarters?

A. Histogram plot
B. Bar plot
C. Bode plot
D. Frequency plot
Answer» C. Bode plot
7.

The nature of data while using pie plots is ___________ data.

A. Discrete
B. Continuous
C. Polar
D. Time-series
Answer» C. Polar
8.

What is the difference between primary and secondary data in statistics?

A. No difference
B. The former is collected from the field of the investigation while the latter is collected from a separate entity
C. The first set of data received is Primary data while the next set is secondary data
D. The important data is primary data while the lesser important data is secondary data
Answer» C. The first set of data received is Primary data while the next set is secondary data
9.

What is the output of the following line of code?

A. Error
B. Sliced pie chart
C. Pie-chart
D. Labelled Pie chartView Answer
Answer» B. Sliced pie chart
10.

To exhibit time-series or spatial-series data, what kind of diagrams are suitable?

A. Pie-bar
B. Pie-chart
C. Ratio-chart
D. Bar-diagram
Answer» E.
11.

 If in a formula, mean absolute deviation is numerator and arithmetic mean is denominator then resultant value is classified as

A. coefficient of mean deviation
B. coefficient of absolute quartile deviation
C. coefficient of quartile range deviation
D. coefficient of mean absolute deviation
Answer» E.
12.

Number of patients who visited cardiologists are as 63, 57, 51, 65 in four days then absolute mean deviation (approximately) is

A. 8 patents
B. 4 patients
C. 10 patients
D. 15 patients
Answer» C. 10 patients
13.

Mean absolute deviation is 5 and arithmetic mean is 110 then coefficient of mean absolute deviation is

A. 1.054
B. 0.045
C. 0.054
D. 0.064
Answer» C. 0.054
14.

If set of observations is 11, 13, 15, 12, 16, 18, 19, 14, 20, 17 and absolute mean deviation is 12 then percentage of coefficient of mean absolute deviation is

A. 47.41%
B. 57.41%
C. 67.41%
D. 77.41%
Answer» E.
15.

 If arithmetic mean is considered as average of deviations then resultant measure is considered as

A. close end deviation
B. mean absolute deviation
C. mean deviation
D. variance deviation
Answer» C. mean deviation
16.

Procedure in which number of elements in stratum are not in proportional to number of elements in population is classified as

A. indirect strata procedure
B. direct strata procedure
C. non proportional procedure
D. proportional procedure
Answer» D. proportional procedure
17.

 In stratified sampling, sample drawn randomly from strata is classified as

A. sub strata
B. sub sample
C. direct sub group
D. indirect sub group
Answer» C. direct sub group
18.

Method of sampling in which population is divided in to mutual exclusive groups that have useful context in statistical research is classified as

A. stratified sampling
B. regular group sampling
C. irregular group sampling
D. direct group sampling
Answer» B. regular group sampling
19.

 Type of stratified proportion sampling in which information is gathered on convenience basis from different groups of population is classified as

A. purposive sampling
B. judgment sampling
C. quota sampling
D. convenience sampling
Answer» D. convenience sampling
20.

Classification method in which upper and lower limits of interval is also in class interval itself is called

A. exclusive method
B. inclusive method
C. mid-point method
D. ratio method
Answer» C. mid-point method
21.

Summary and presentation of data in tabular form with several non-overlapping classes is referred as

A. nominal distribution
B. ordinal distribution
C. chronological distribution
D. frequency distribution
Answer» E.
22.

Largest value is 60 and smallest value is 40 and number of classes desired is 5 then class interval isa

A. 20
B. 4
C. 25
D. 15
Answer» C. 25
23.

 Classification method in which upper limit of interval is same as of lower limit class interval is called

A. exclusive method
B. inclusive method
C. mid-point method
D. ratio method
Answer» B. inclusive method
24.

Discrete variables and continuous variables are two types of

A. open end classification
B. time series classification
C. qualitative classification
D. quantitative classification
Answer» E.
25.

Three dimensional diagrams are named as so because they considers both

A. length and breadth
B. breadth and depth
C. depth, length and breadth
D. depth and length
Answer» D. depth and length
26.

 Diagrams used to represent grouped and ungrouped data is classified as

A. breadth diagrams
B. bar diagrams
C. width diagrams
D. length diagrams
Answer» C. width diagrams
27.

 In stem and leaf display diagrams used in exploratory analysis, stems are considered as

A. central digits
B. trailing digits
C. leading digits
D. dispersed digits
Answer» D. dispersed digits
28.

Diagrams such as cubes and cylinders are classified as

A. one dimension diagrams
B. two dimension diagram
C. three dimensional diagrams
D. dispersion diagrams
Answer» D. dispersion diagrams
29.

If vertical lines are drawn at every point of straight line in frequency polygon then by this way frequency polygon is transformed into

A. width diagram
B. length diagram
C. histogram
D. dimensional bar charts
Answer» D. dimensional bar charts
30.

 Cumulative distribution functions are used to specify the distribution of multivariate random variables.

A. True
B. False
Answer» B. False
31.

Which of the following random variables are the default model for random samples ?

A. iid
B. id
C. pmd
D. all of the Mentioned
Answer» B. id
32.

Chebyshev’s inequality states that the probability of a “Six Sigma” event is less than 

A. 10%
B. 20%
C. 30%
D. 3%
Answer» E.
33.

For continuous random variables, the CDF is the derivative of the PDF

A. True
B. False
Answer» C.
34.

Which of the following inequality is useful for interpreting variances ?

A. Chebyshev
B. Stautaory
C. Testory
D. All of the Mentioned
Answer» B. Stautaory
35.

 Point out the wrong statement:

A. A percentile is simply a quantile with expressed as a percent
B. There are two types of random variable
C. R cannot approximate quantiles for you for common distributions
D. None of the Mentioned
Answer» D. None of the Mentioned
36.

The square root of the variance is called the ________ deviation.

A. empirical
B. mean
C. Continuous
D. standard
Answer» E.
37.

Which of the following of a random variable is a measure of spread ?

A. variance
B. standard deviation
C. empirical mean
D. all of the Mentioned
Answer» B. standard deviation
38.

Point out the correct statement:

A. Some cumulative distribution function F is non-decreasing and right-continuous
B. Every cumulative distribution function F is decreasing and right-continuous
C. Every cumulative distribution function F is increasing and left-continuous
D. None of the Mentioned
Answer» E.
39.

 The expected value or _______ of a random variable is the center of its distribution.

A. mode
B. median
C. mean
D. bayesian inference
Answer» D. bayesian inference