Question
Statements: All boxes are cups. All chairs are
cups. All cups are mirrors. All tables are mirrors. Conclusions:I. some tables are chairs. II. Some mirrors are boxes. III. Some mirrors are chairs. In each question below are given four statements followed by three conclusions numbered I, II and III.You have to take the four given statements to be true even if they seem to be at variance with commonly known facts and then decide which of the given conclusions logically follows from the two given statements, disregarding commonly known facts.Solution
All chairs are cups(A) + All cups are mirrors(A) ⇒ All chairs are mirrors(A) + [All tables are mirrors(A)] → Conversion → Some mirrors are tables(I) ⇒ No conclusion. Hence conclusion I does not follow. All boxes are cups (A) + All cups are mirrors (A) = All boxes are mirrors (A) → Conversion → Some mirrors are boxes (I). Hence, conclusion II follows. All chairs are cups (A) + All cups are mirrors (A) = All chairs are mirrors (A) → Conversion → Some mirrors are chairs (I). Hence, conclusion III also follows.
Which of the following features in Power BI allows for dynamically filtering data across multiple visuals with a single control element?
Which of the following methods is most commonly used for ensuring that time series data is stationary?
In regex, [0-9]{3} matches:
CREATE OR REPLACE VIEW high _ salary _ employees AS
SELECT employee _ id, salary
FROM employees
WHERE salary > 50000;
Which ...
What is the primary advantage of using the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting time series data?
Which visualization library in R is most effective for creating interactive, web-based data visualizations?
How does supply chain optimization benefit from predictive analytics?
In a virtual memory system, a process requests a page that is not currently in memory, triggering a page fault. Which of the following is the most optim...
In the context of presenting data insights, which approach is most effective?
Which sampling technique is most appropriate when the population is naturally divided into groups that differ significantly from each other?