Question
In the following question, some conclusions are given
and some statements are given you have to take the given conclusions to be true even if they seem to be at variance with commonly known facts and then decide from which of the statements given in options (A), (B), (C), (D) and (E) which make the conclusions given in the statement definitely true. Conclusions: Some Subject are being Tools is a possibility. Some Menu are being Subject is a possibility. Statements: 1: All Tools are Mails. Some Subject are Mails. No Menu is Subject 2: All Tools are Mails. No Subject is Mails. All Menu are tools 3: Some Tools are Mails. Some Subject are Mails. No Menu is Subject 4: Some Tools are Mails. Some Subject are Mails. No Menu is Subject 5: Some Tools are Mails. Some Subject are Mails. All Menu are Tools.Solution
From Statement 5: Some Subject are Mails (I) + Some Tools are Mails (I) β Conversion β Some Mails are tools (I) β Probable conclusion β Some Subject may be Tools (I). All Menu are Tools (A) + Some Tools are Mails (I) β Probable conclusion β Some Menu are Mails (I) + Some Mails are Subject (I) β Probable conclusion β Some Menu may be Subject (I).
In defining KPIs for a marketing campaign, what is the most critical aspect a data analyst should ensure?
Which of the following Python libraries is most suitable for handling large datasets efficiently and performing complex data manipulations?
What is the most challenging step in the data analysis process and why?
Which ES6 feature allows for function parameters to have default values if no value is provided during a function call?
In R, which function from the ggplot2 package would be best suited for creating a scatter plot with different colors representing different categories?
Which technique best ensures that data storytelling is impactful for business stakeholders?
In hypothesis testing, what does a low p-value (e.g., p < 0.05) suggest about the null hypothesis?
Which of the following operations is NOT valid for a circular linked list?
Which of the following is not a measure of central tendency?
Which of the following best describes the main difference between random and non-random sampling methods?