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Data category A: 1,2,2,3,5,6,7 Data category B: 2,3,5,6,8,9,9 Sorry it is from the IR question I just took, I do not have the full question, I just recall the problems and try to discuss the concept here. But I do remember there is a repeating data for category A and the B is increasing, and vice versa.
Hello everyone, I would like to confirm one thing: in a table set data, if the question is asking whether two things positively correlated (Yes / No), does it have to be 100% data set positively correlated or we can pick the answer yes if 80% of the data follows this trend?
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IMO, correlation by definition has to be "what the majority of the data points are indicating". In practical scenarios too, we will never get a case where there will be a 100% agreement, hence a correlation is good method for hypothesis.
Hello Team! I just have started with the data insight section. I picked up the official guide for preparation and I see it mostly consists of data sufficiently questions and not table or graph analysis questions.
Does anyone know a good source to prepare all kind of data insight questions?
Hi Ashtha! If you have bought the OG book(hard copy or e-book) , you will be able to access the online question of DI questions that have other types as well.
But, you can also check out our repository of questions as well. There are more than 1000 questions on DI
1 troy ounce = 31.1 gram so 100 grams will be approximately 3.21 troy ounces. So the year end prize in 2008 is 3.21* 600 = 1926 which can be rounded down to 1900 . the prize at 2010 year end will be 3.21*900 = 2889.
adding all the number of arrivals before 1 pm gives you around 7900 vehicles whereas accumulation is around 7000. the question mentions that you should select before 1pm if the condition gets satisfied before 1pm regardless of what happens after 1 pm so the answer before 1pm is correct
Why do we need to add the values? The graph says "cumulative arrivals" and "Cumulative departures" doesn’t that mean all values are prior value plus number of arrivals/departures in the next hour? According to me, we just need to compare the cumulative arrivals value in the graph to accumulation. And accumulation is simply the the total(cumulative) number of cars arrived minus total(cumulative) number of cars left. In above question we just need to see if cumulative arrivals value as represented in the graph gets above accumulation value before 1PM at least once or not. This occurrence happens when first departure happens. This can be seen in the graph. Also, the accumulation will be max when cumulative arrival and cumulative departure are furthest apart(just expanding on what values we can obtain from the graph)
From a group of J employees, K will be selected, at random, to sit in a line of K chairs. There are absolutely no restrictions, either in the selection process nor in the order of seating — both are entirely random. What is the probability that the employee Lisa is seated exactly next to employee Phillip?
(1) K = 15 (2) K = J
In this DS question can anyone explain the calculation. How do I solve for the numerator?
Why do we need to add the values? The graph says "cumulative arrivals" and "Cumulative departures" doesn’t that mean all values are prior value plus number of arrivals/departures in the next hour? According to me, we just need to compare the cumulative arrivals value in the graph to accumulation. And accumulation is simply the the total(cumulative) number of cars arrived minus total(cumulative) number of cars left. In above question we just need to see if cumulative arrivals value as represented in the graph gets above accumulation value before 1PM at least once or not. This occurrence happens when first departure happens. This can be seen in the graph. Also, the accumulation will be max when cumulative arrival and cumulative departure are furthest apart(just expanding on what values we can obtain from the graph)
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that is what i thought. But the graph does not indicate that the accumulation exceed the cumulative arrival line either before or after 1 p.m.
Accumulation can nevermind exceed cumulative arrivals unless there were cars stored prior to counting arrivals. They will be equal until first departure. Which happens before 1pm hence the answer