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Study information given and select valid conclusion/s from the given statements based on it. In a joint family the number of members who take only coffee is equal to the half the number of members who take tea and the number of persons who take only tea is equal to the half the number of persons who take coffee. Statements: a. The total number of persons who take either coffee or tea or both is thrice the number of persons who take only coffee or only tea. b. The total number of persons who take only coffee and those who take only tea is twice the number of persons who take both coffee and tea.
What is linear_congruential_engine? for some w using Mersenne Twister algorithm b) Pseudo-random number engine that generates random unsigned integers c) Pseudo-random number engine that generates random unsigned integers in the range for some w using lagged Fibonacci generator d) Pseudo-random number engine that generates random signed integers in the range for some w using Mersenne Twister algorithm
An Investigator interviewed 100 students to determine the performance of three drinks milk, coffee and tea. The investigator reported that 10 students take all three drinks, 20 students take milk and coffee, 30 students take coffee and tea; 25 students take milk and tea; 12 students take milk only. 5 students take coffee only and 8 student take tea only. Then the number of students who did not take any of the three drinks is λ. The value of \(\frac{\lambda }{4}\) is equal to
Consider the following statements: 1. A continuous random variable can take all values in an interval. 2. A random variable which takes a finite number of values is necessarily discrete. 3. Construction of a frequency distribution is based on data which are discrete. Which of the above statements are correct?
What is mersenne_twister_engine? for some w using Mersenne Twister algorithm c) Pseudo-random number engine that generates random unsigned integers in the range for some w using lagged Fibonacci generator d) Pseudo-random number engine that generates random signed integers in the range for some w using Mersenne Twister algorithm
What is subtract_with_carry_engine? for some w using Mersenne Twister algorithm c) Pseudo-random number engine that generates random unsigned integers in the range for some w using lagged Fibonacci generator d) Pseudo-random number engine that generates random signed integers in the range for some w using Mersenne Twister algorithm
In a group of 450 students, 22% of the total students take the Hindi subject, 34% of the total students take the Physics subject, and 26% of the total students take the Social Science subject. 8% of the total students have taken both Hindi and Physics subject only. Out of the total students in the Hindi subject, 1/3 have taken both Hindi and Social Science subject only. Out of the total students in the Physics subject, 1/3 have taken both Physics and Social Science subject only. Only 20 students take all the three subjects. Find the number of students who have not taken any subject.  
In a group of 450 Teachers, 22% of the total Teachers take the English department, 34% of the total Teachers take the quant. department, and 26% of the total Teachers take the LR department. 8% of the total Teachers have taken both English and quant department only. Out of the total Teachers in the English department, 1 / 3 have taken both English and LR department only. Out of the total Teachers in the quant department, 1 / 3 have taken both quant and LR department only. Only 20 Teachers take all the three departments. Find the number of Teachers who have not taken any department. 
Which of the following is equivalent to random.randint(3, 6)? ) b) random.randrange(3, 6) c) 3 + random.randrange(3) d) 3 + random.randrange(4)
Statement I The product of coefficient of correlation, standard deviation of variable 'X' and Standard deviation of variable 'Y' gives the measure of covariance between X and Y variables.
Statement II The product of coefficient of correlation between X and Y variables and the ratio between standard deviation of X variable to standard deviation of Y variable measures the slope of the regression line of X on Y variable.