NSE Sample Test IMS Proschool – Certification in Business Analytics
Sample Test: CBA Basic Data Exploration with Statistics Question 1 (1)
When would we say that we have a left tailed distribution basis following observations in data? I. II. III. IV.
Mean < Median Mean = Median Mean > Median Median = Mode
Question 2 (1)
Given the below sample data compute what would be the mean, median, mode and standard deviation in the Age 17 34 23 28 20 25 37 21 11 19 39 37 37 32 32 I. II. III. IV.
Mean = 27, Median = 28, Mode = 37, Standard Deviation = 8.7 Mean = 18, Median = 25, Mode = 37, standard deviation = 8.7 Mean = 27, Median = 28, Mode = 37, standard Deviation Deviation = 7.8 Mean = 27, Median = 28, Mode = 37, Standard Deviation = 8.7
Question 3 (2)
Temperature (In degrees Fahrenheit) as a variable in any study with sample observations like 35oF, 75 oF, 98.3 oF ,etc would be I. II. III. IV.
having a Interval scale of measurement as zero is assigned arbitrarily having a Interval scale of measurement as we cannot take ratios of two measurements having a Ratio scale of measurement as zero is absolute both 1 & 2
Question 4 (3)
The Lower Quartile of a Box Plot created from a dataset with observations as {2,4,40,44,46,66,56,33,45} is 33 while the Upper Quartile is 46. Where should we be seeing the Lower Whiskers? I. II. III. IV.
2 4 40 None of the Above
NSE Sample Test IMS Proschool – Certification in Business Analytics
Sampling and Hypothesis Testing
Question 5 (1)
If you get some data related to the efficacy of a fertilizer based on tests on field wherein the quantity administered and size of the field under study is different for different samples, then which of the following would be an ideal process before you go ahead with data analysis I. II. III. IV.
Using percentage ratios Transforming the data using normalization techniques Use Average values and compare the tests Use absolute values as is available so as to keep the data unchanged
Question 6 (1)
Probability of an event A is 0.4, and the probability of event B is 0.3. Assuming the two events are independent of each other what is the conditional probability of A given B denoted by P(A|B)? I. II. III. IV.
0.4 0.12 0.1 None of the above
Question 7 (1)
A sampling distribution is the probability distribution for which one of the following? I. II. III. IV.
A sample A population A sample statistic A population parameter
Question 8 (2)
Given that you have specified the confidence level at 95 %, if p value is less than α then specify the α and maximum probability of Type I error respectively I. II. III. IV.
0.95 and 0.85 5 % and 0.95 0.05 and 0.05 None of the above
Question 9(3)
Select the hypothesis formulation and the corresponding best values for α, in a Judiciary Scenario so as to avoid punishing an innocent in lieu of which it’s okay to pronounce a real case of guilty as not guilty I. H0 : Defendant is Guilty ,H 1 : Defendant is not Guilty, α = 10%
NSE Sample Test IMS Proschool – Certification in Business Analytics
II. H0 : Defendant is Innocent, H 1 : Defendant is not Innocent, α = 5% III. H0 : Defendant is Guilty, H 1 : Defendant is not Guilty, α = 1% IV. H0 : Defendant is Innocent, H 1 : Defendant is not Innocent, α = 1%
Predictive Analytics: Linear Regression Question 10(1)
The degree or strength of correlation between an independent variable age and dependent variable salary is measured by I. II. III. IV.
Coefficient of determination Coefficient of correlation Standard error of estimate All of above
Question 11(1)
Percent total variation of the dependent variable Y explained by the set of independent variables X1,X2,...,Xn is measured by I. Coefficient of correlation II. Coefficient of skewness III. Coefficient of determination IV. Standard deviation Question 12(1)
Coefficient of correlation between age and mortality rate is 0.9 indicating I. II. III. IV.
a weak relationship between age and mortality rate a weak relationship between age and mortality rate which is positive a strong relationship between age and mortality rate a strong relationship between age and mortality rate which is positive
Question 13 (2)
Given the ANOVA output, compute the missing values Source of Variation Regression Error Total I. II. III. IV.
Sum of Squares
Degrees of Freedom
Mean Square
321.5
????
107.1666667
????
4
XXXXXX
F Ratio
420 7 Regression sum of squares is 300 and Degrees of freedom for Regression is 3 Regression sum of squares is 210 and Degrees of freedom for Regression is 6 Regression sum of squares is 80.5 and Degrees of freedom for Regression is 6 Regression sum of squares is 98.5 and Degrees of freedom for Regression is 3
4.351945854
NSE Sample Test IMS Proschool – Certification in Business Analytics
Question 14(3)
From the following ANOVA output compute the total number of observations and number of variables respectively Source of Variation
Sum of Squares
Degrees of Freedom
Mean Square
Regression
400
12
33.33333333
Error
100
8
12.5
Total
500
20
I. II. III. IV.
n = 20 and k =8 n = 21 and k = 12 n = 19 and k = 8 n = 18 and k = 12
Classification Question 15(1)
Naive Bayes algorithm is a I. II. III. IV.
Supervised learning model Unsupervised learning model Both of the Above None of the Above
Question 16(1)
Decision tree algorithm is a I. II. III. IV.
Supervised learning model Unsupervised learning model Both of the Above None of the Above
Question 17(1)
Naive Bayes algorithm is a I. II. III. IV.
Prediction model Classification model Both of the Above None of the Above
F Ratio 2.666666667
NSE Sample Test IMS Proschool – Certification in Business Analytics
Question 18(2)
Which of these target variable types are used by CHAID for decision making? I. II. III. IV.
Numeric Integer Interval Class
Market Basket Analysis Question 19 (1)
Market Basket Analysis is a study of I. Association between products II. Link between products III. Relation between numbers IV. Association between dependent variable and independent variable Question 20 (1)
Association rule mining is a I. Supervised learning model II. Unsupervised learning model III. Classification model IV. None of the above Question 21 (1)
Market basket analysis is used for I. II. III. IV.
Up selling Only Cross selling Only Up selling and cross selling None of the above
Question 22 (2)
Would you expect good number of rules in a transaction set of 100 records as compared to 100000 records? I. II. III. IV.
Yes No Can’t Say None of the Above
NSE Sample Test IMS Proschool – Certification in Business Analytics
Question 23 (3)
At any point in time for a specific customer, is it possible to see more than one consequent as a recommendation? I. II. III. IV.
Yes No Can’t Say None of the Above
Predictive Analytics: Forecasting Time Series Analysis Question 24 (1)
What is the x axis of a time series data? I. II. III. IV.
Time Sales Both of the Above None of the Above
Question 25(1)
What would we call an ordered set of data arranged in accordance with their time of occurrence? I. II. III. IV.
Arithmetic series Time Series Both of the Above None of the Above
Question 26(1)
What would a time series indicate? I. II. III. IV.
Short term variation Irregular variation Both of the Above None of the Above
Question 27(2)
What would be the systematic components of time series which follow regular pattern of variations? I. II. III. IV.
Noise Signal Correlation None of the Above
NSE Sample Test IMS Proschool – Certification in Business Analytics
Question 28(3)
Which of the following describes a time series as a weak stationary process? a. b. c. d. I. II. III. IV.
Constant mean Constant variance Constant auto covariance for given lags Constant probability distributions a a&c a,b & c a,b,c & d
Clustering Question 29(1)
What is the Clustering? I. II. III. IV.
Prediction of data Classification of data Partition of data None of the Above
Question 30(1)
Do we identify a set of independent variables and a dependent variable when we do clustering? I. II. III. IV.
Yes No Can’t say None of the Above
Question 31(1)
Will we call cluster analysis a variable reduction technique? I. II. III.
Yes No Can’t say
Question 32 (2)
What of these would be a dependent variable in a clustering algorithm? I. II. III.
Numerical Categorical Both of the Above
NSE Sample Test IMS Proschool – Certification in Business Analytics
IV.
None of the Above
Logistic Regression Question 33(1)
In a Logistic regression model, the level of significance α for a variable in the model indicates I. II. III. IV.
The probability of accepting the null hypothesis when it is actually true The probability of rejecting the null hypothesis when it is actually true The probability of accepting the null hypothesis when it is actually false The probability of rejecting the null hypothesis when it is actually false
Question 34(1)
What is the relation between level of confidence and the significance level ? I. II. III. IV.
Level of confidence = α Level of significance = 1 - α Level of confidence = 1- α Level of confidence = Level of significance
Question 35(2)
The likelihood term in logistic regression statistically 1. 2. 3. 4.
Is the probability of observing a particular parameter value given a set of data Is same as p value Is the parameter value which is most likely given the observed data Minimises the difference between the model and the data
