The new official thread for IMS-SIMCAT for the year 2017 has been started here:
For any queries regarding SIMCAT please post them on the new thread for relevant updates & responses.
Closing this 2016 SIMCAT 2 Self Proctored thread.
Guys please guide me as in how to increase my speed for verbal...what strategy do u guys follow.....I saw some guys even attempted 34 questions in VA and got 22 correct....how do u get time to read all and attempt all......it definitely can't be related to the Enormous reading speed...what strategy are u guys following..?
Guys what to do ...I am totaly depressed as I am geeting only 50-60 marks in simcat?how to improve ..!
For most of its history our species has systematically squandered its human capital by spurning the creative potential of half its members. Higher education was withheld from women in just about every place on earth until the twentieth century. It’s only been in the last few decades that the gap has so significantly closed that, at least in the US, more bachelor’s degrees have been earned by women than by men since 1982, and, since 2010, women have earned the majority of doctoral degrees. This recent progress only underscores the past’s wasteful neglect of human resources.
Still, the gender gap has stubbornly perpetuated itself in certain academic fields, usually identified as STEM – science, technology, engineering and mathematics – and this is as true in Europe as in the US. A host of explanations have been posed as to the continued male dominance as well as recommendations for overcoming the gap. If the under-representation of women in STEM isn’t the result of innate gender differences in interests and/or abilities, then it’s important for us to overcome it. We’ve got enormously difficult problems to solve, both theoretical and practical, and it’s lunacy not to take advantage of all the willing and able minds that are out there.
This is why the recent study by Andrei Cimpian and Sarah-Jane Leslie is big news. First of all, their data shows that the lingering gender gap shouldn’t be framed in terms of STEM versus non-STEM. There are STEM fields – for example, neuroscience and molecular biology – that have achieved 50% parity in the number of Ph.D.s earned by men and women in the US, and there are non-STEM fields – for example, music theory and composition (15.8%) and philosophy (31.4%) – where the gender gap rivals such STEM fields as physics (18.0%), computer science (18.6%) and mathematics (28.6%). So that’s the first surprise that their research delivers, that it’s not science per se that, for whatever reasons, produces stubborn gender disparity. And this finding in itself somewhat alters the relevance of the various hypotheses offered for the tenacity of the imbalance.
Cimpian and Leslie call the hypothesis that they tested the FAB hypothesis – for field-specific ability beliefs. It focuses on the belief as to whether success in a particular field requires pure innate brilliance, the kind of raw intellectual power that can’t be taught and for which no amount of conscientious hard work is a substitute. One could call it the ‘Good-Will-Hunting quotient’, after the 1997 movie that featured Matt Damon as a janitor at MIT who now and then, in the dead of night, pauses to put down his mop in order to effortlessly solve the difficult problems left scribbled on a blackboard.
In order to test the FAB hypothesis, the researchers sent out queries to professors, post-docs and graduate students in leading universities in the US, probing the extent to which the belief in innate brilliance prevailed in the field. In some fields, success was viewed as more a function of motivation and practice, while in others the Good-Will-Hunting quotient was more highly rated. What Cimpian and Leslie found is that the more that success within a field was seen as a function of sheer intellectual firepower, with words such as ‘gifted’ and ‘genius’ not uncommon, the fewer the women. The FAB hypothesis cut cleanly across the STEM/non-STEM divide.
The FAB hypothesis does not necessarily provide the sole factor behind the lingering gender gap, but it may be operative. From Sherlock Holmes to Dr. House to Will Hunting, the stereotype of the genius even in popular culture is overwhelmingly male. If genius is an aberration, then female genius is viewed as significantly more aberrational, since it’s seen as an aberration of femaleness itself. Given such stereotypes, is it unlikely that fields that highlight innate genius would show lagging female numbers?
What is the author’s opinion about psychoanalysis?
How is the answer 1 and not 3? :|
Can anyone please explain the solution for the question:
Suppose 'n' is a positive integer. When (n2 - 1) is divided by 6, it leaves a remainder of 2. Suppose 'm' is the remainder when 'n' is divided by 7. How many different values can 'm' take?
Simcat 2 VA 98.42 DILR 97.95 QA 90.35 OA- 98.59 Rank 250
Can someone explain the solution for Qs 13 Quant Section (Hare and Tortoise problem)?
Isn't their some other method to do it other than that given in solutions? Maybe easier one?