Explore topic-wise MCQs in SSC CGL.

This section includes 594 Mcqs, each offering curated multiple-choice questions to sharpen your SSC CGL knowledge and support exam preparation. Choose a topic below to get started.

101.

Regression analysis was applied between $ sales (y) and $ advertising (x) across all the branches of a major international corporation. The following regression function was obtained) ! = 5000 + 7.25x If the advertising budgets of two branches of the corporation differ by $30,000, then what will be the predicted difference in their sales? __________

A. $217,500
B. $222,500
C. $5000
D. $7.25
Answer» B. $222,500
102.

Statistics branches include__________

A. Applied Statistics
B. Mathematical Statistics
C. Industry Statistics
D. Both A and B
Answer» E.
103.

What will be the range of r when we find that the dependent variable increases as the independent variableincreases?__________

A. 0 to -0.05
B. 1 to 2
C. 0 .1 to 1
D. None of these
Answer» D. None of these
104.

The value of standard deviation changes by a change of__________

A. Origin
B. Scale
C. Algebraic signs
D. None
Answer» E.
105.

According to the empirical rule, approximately what percent of the data should lie within $\mu \pm2\sigma$?_______

A. 75%
B. 68%
C. 99.7%
D. 90%
Answer» D. 90%
106.

The empirical relation between mean, median, and mode is____________

A. $ 3 mean – 2 median $
B. $ 3 median – 2 mean $
C. $ 2 mean – 3 median $
D. $ mean = median = mode $
Answer» C. $ 2 mean – 3 median $
107.

If Q3=20 and Q1=10, the coefficient of quartile deviation is___________

A. 3
B. 1/3
C. 2/3
D. 1
Answer» C. 2/3
108.

Which one of the following measurement does not divide a set of observations into equal parts?__________

A. Quartiles
B. Standard Deviations
C. Percentiles
D. Deciles
Answer» D. Deciles
109.

The measures used to calculate the variation present among the observations in the unit of the variable iscalled___________

A. Relative measures of dispersion
B. Coefficient of skewness
C. Absolute measures of dispersion
D. Coefficient of variation
Answer» D. Coefficient of variation
110.

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
Answer» D. Satisfactory Scale
111.

Sample statistics are also represented as__________

A. Lower Case Greek Letter
B. Roman Letters
C. Associated Roman Alphabets
D. Upper Case Greek Letter
Answer» C. Associated Roman Alphabets
112.

Which of the following measurement scales is required for the valid calculation of spearman correlationcoefficient?_____________

A. Ordinal
B. Interval
C. Nominal
D. Ratio
Answer» C. Nominal
113.

Perfect correlation is one Perfect correlation is one in which_________

A. Area of a circle is in definite constant relationship with radius
B. When area of the circle is ½ radius
C. None of these
D. All of these
Answer» D. All of these
114.

Primary data and _____________ data are sam

A. Grouped
B. Secondary data
C. Ungrouped
D. None of these
Answer» C. Ungrouped
115.

The arithmetic mean of all possible outcomes is known as___________

A. expected value
B. critical value
C. variance
D. standard deviation
Answer» B. critical value
116.

The shape of symmetrical distribution is _______

A. U shaped
B. Bell Shaped
C. J Shaped
D. None of these
Answer» C. J Shaped
117.

In inferential statistics, we study____________

A. The methods to make decisions about the population based on sample results
B. How to make decisions about mean, median, or mode
C. How a sample is obtained from a population
D. None of the above
Answer» E.
118.

Measurements usually provide_____________

A. Discrete Data
B. Continuous Data
C. Qualitative Data
D. Primary Data
Answer» C. Qualitative Data
119.

Questionnaire survey method is used to collect____________

A. Secondary data
B. Qualitative variable
C. Primary data
D. None of these
Answer» D. None of these
120.

Which of the following is true if the estimating equation has to be a perfect estimator of the dependentvariable?______________

A. The coefficient of determination is -1
B. All the data points are on the regression line.
C. The standard error of the estimate is zero
D. B and C
Answer» E.
121.

A numerical value used as a summary measure for a sample, such as a sample mean, is known as a_______

A. Population Parameter
B. Sample Parameter
C. Sample Statistic
D. Population Mean
Answer» D. Population Mean
122.

The appropriate average for calculating average percentage increase in population is____________

A. Arithmetic Mean
B. Harmonic Mean
C. Mode
D. Geometric Mean
Answer» E.
123.

Arithmetic Mean is __________ affected by extreme values

A. Not
B. Highly
C. Less
D. None of these
Answer» C. Less
124.

The height of a student is 60 inches. This is an example of___________

A. Qualitative data
B. Categorical data
C. Continuous data
D. Discrete data
Answer» B. Categorical data
125.

If the coefficient of determination is equal to 1, then the correlation coefficient _______

A. must also be equal to 1
B. can be either -1 or +1
C. can be any value between -1 to +1
D. must be -1
Answer» C. can be any value between -1 to +1
126.

Data must be arranged either in ascending or descending order if some want to compute________________

A. Mode
B. Median
C. Harmonic Mean
D. Median
Answer» E.
127.

A fitted least squares regression line ____________

A. may be used to predict a value of y if the corresponding x value is given
B. is evidence for a cause-effect relationship between x and y
C. can only be computed if a strong linear relationship exists between x and y
D. None of these alternatives is correct.
Answer» C. can only be computed if a strong linear relationship exists between x and y
128.

If the coefficient of determination is 0.81, the correlation coefficient __________

A. is 0.6561
B. could be either + 0.9 or - 0.9
C. must be positive
D. must be negative
Answer» B. could be either + 0.9 or - 0.9
129.

The average of squared deviations about the arithmetic mean for a set of numbers is called___________

A. Standard deviation
B. Coefficient of mean deviation
C. Mean deviation
D. Variance
Answer» E.
130.

Which of the following is not based on all the observations?________

A. Arithmetic Mean
B. Geometric Mean
C. Harmonic Mean
D. Mode
Answer» D. Mode
131.

In regression analysis, the variable that is used to explain the change in the outcome of an experiment, orsome natural process, is called ________

A. the x-variable
B. the independent variable
C. the predictor variable
D. all of the above (a-c) are correct
Answer» E.
132.

In least squares regression, which of the following is not a required assumption about the error term ε?___________

A. The expected value of the error term is one.
B. The variance of the error term is the same for all values of x.
C. The values of the error term are independent.
D. The error term is normally distributed)
Answer» B. The variance of the error term is the same for all values of x.
133.

Find the median of the following data: 160, 180, 200, 280, 300, 320, 400______________

A. 140
B. 300
C. 180
D. 280
Answer» E.
134.

Mean deviation computed from a set of data is always____________

A. Negative
B. Equal to standard deviation
C. More than standard deviation
D. Less than standard deviation
Answer» B. Equal to standard deviation
135.

A parameter is a measure which is computed from______________

A. Population data
B. Sample data
C. Test statistics
D. None of these
Answer» C. Test statistics
136.

The relationship between number of beers consumed (x) and blood alcohol content (y) was studied in 16 male college students by using least squares regression. The following regression equation was obtained from this study: != -0.0127 + 0.0180x The above equation implies that__________

A. each beer consumed increases blood alcohol by 1.27%
B. on average it takes 1.8 beers to increase blood alcohol content by 1%
C. each beer consumed increases blood alcohol by an average of amount of 1.8%
D. each beer consumed increases blood alcohol by exactly 0.018
Answer» D. each beer consumed increases blood alcohol by exactly 0.018
137.

Statistics results are_____________

A. Absolutely Correct
B. Not True
C. True on Average
D. Universally True
Answer» D. Universally True
138.

The standard deviation one distribution divided by the mean of the distribution and expressing inpercentage is called_____________

A. Coefficient of Standard deviation
B. Coefficient of skewness
C. Coefficient of quartile deviation
D. Coefficient of variation
Answer» B. Coefficient of skewness
139.

In statistics, a sample means_____________

A. A portion of the sample
B. A portion of the population
C. All the items under investigation
D. None of the above
Answer» C. All the items under investigation
140.

6. The measures of dispersion can never be__________

A. Positive
B. Zero
C. Negative
D. Equal to
Answer» D. Equal to
141.

A symmetrical distribution has mean equal to 4. Its mode will be____________

A. Equal to 4
B. Less than 4
C. Greater than 4
D. Not equal to 4
Answer» B. Less than 4
142.

The middle value of an ordered array of numbers is the_____________

A. Mode
B. Mean
C. Median
D. Mid-Point
Answer» D. Mid-Point
143.

If two variables, x and y, have a very strong linear relationship, then ____________

A. there is evidence that x causes a change in y
B. there is evidence that y causes a change in x
C. there might not be any causal relationship between x and y
D. None of these alternatives is correct.
Answer» D. None of these alternatives is correct.
144.

In a regression analysis if SSE = 200 and SSR = 300, then the coefficient of determination is ___________

A. 0.6667
B. 0.6000
C. 0.4000
D. 1.5000
Answer» C. 0.4000
145.

If a distribution is abnormally tall and peaked, then is can be said that the distribution is__________

A. Leptokurtic
B. Pyrokurtic
C. Platykurtic
D. Mesokurtic
Answer» C. Platykurtic
146.

Given $X_1=12,X_2=19,X_3=10,X_4=7$, then $\sum_{i=1}^4 X_i$ equals?________

A. 36
B. 48
C. 41
D. 29
Answer» D. 29
147.

In descriptive statistics, we study____________

A. The description of the decision-making process
B. The methods for organizing, displaying and describing data
C. How to describe the probability distribution
D. None of the above
Answer» C. How to describe the probability distribution
148.

In a regression analysis if r 2 = 1, then ___________

A. SSE must also be equal to one
B. SSE must be equal to zero
C. SSE can be any positive value
D. SSE must be negative
Answer» C. SSE can be any positive value
149.

The arithmetic average of the absolute deviation of a series known as the________

A. Standard deviation
B. Coefficient of mean deviation
C. Mean deviation
D. None of the above
Answer» D. None of the above
150.

A chance variation in an observational process is____________

A. Dispersion/ Variability
B. Measurement error
C. Random error
D. Instrument error
Answer» B. Measurement error