Name the member of Pakistan's first-ever cricket Test team who died in last week of December 2016. ?->(Show Answer!)

1. Name the member of Pakistan's first-ever cricket Test team who died in last week of December 2016.

Write Comment

Comments

Tags

Show Similar Question And Answers

QA->Pakistan batsman Yasir Hameed, who played with the Pakistan team in the Test series against England, allegedly told a British tabloid newspaper that some of his teammates were cheats. Name of that news paper which came out with the sting operation on Pakistan cricketers?....

QA->Indian cricketer who has retired from Test cricket after the third Test between India and Australia concluded in a draw at the Melbourne Cricket Ground on December 30, 3014?....

QA->The United Nations declared 4th week of September which week?....

QA->Who is appointed as the Fielding consultant of the Indian Cricket Team for a three week period?....

QA->Pakistan Cricket Players who were sentenced to jail in Britain on November 3, 2011 for conspiring with agent Mazhar Majeed to bowl no-balls at pre-determined times in a betting scam during a Test match against England last year?....

MCQ->Name the member of Pakistan's first-ever cricket Test team who died in last week of December 2016.....

MCQ-> K, L, M, N, P, Q, R, S, U and W are the only ten members in a department. There is a proposal to form a team from within the members of the department, subject to the following conditions:[list=1][*] A team must include exactly one among P,R and S.[*] A team must include either M or Q, but not both.[*] If a team includes K, then it must also include L, and vice versa.[*] If a team includes one among S, U and W, then it should also include the other two.[*] L and N cannot be members of the same team.[*] L and U cannot be members of the same team.[/list]The size of a team is defined as the number of members in the team.What could be the size of a team that includes K?
....

MCQ-> Read the passage carefully and answer the given questionsThe complexity of modern problems often precludes any one person from fully understanding them. Factors contributing to rising obesity levels, for example, include transportation systems and infrastructure, media, convenience foods, changing social norms, human biology and psychological factors. . . . The multidimensional or layered character of complex problems also undermines the principle of meritocracy: the idea that the ‘best person’ should be hired. There is no best person. When putting together an oncological research team, a biotech company such as Gilead or Genentech would not construct a multiple-choice test and hire the top scorers, or hire people whose resumes score highest according to some performance criteria. Instead, they would seek diversity. They would build a team of people who bring diverse knowledge bases, tools and analytic skills. . . .Believers in a meritocracy might grant that teams ought to be diverse but then argue that meritocratic principles should apply within each category. Thus the team should consist of the ‘best’ mathematicians, the ‘best’ oncologists, and the ‘best’ biostatisticians from within the pool. That position suffers from a similar flaw. Even with a knowledge domain, no test or criteria applied to individuals will produce the best team. Each of these domains possesses such depth and breadth, that no test can exist. Consider the field of neuroscience. Upwards of 50,000 papers were published last year covering various techniques, domains of enquiry and levels of analysis, ranging from molecules and synapses up through networks of neurons. Given that complexity, any attempt to rank a collection of neuroscientists from best to worst, as if they were competitors in the 50-metre butterfly, must fail. What could be true is that given a specific task and the composition of a particular team, one scientist would be more likely to contribute than another. Optimal hiring depends on context. Optimal teams will be diverse.Evidence for this claim can be seen in the way that papers and patents that combine diverse ideas tend to rank as high-impact. It can also be found in the structure of the so-called random decision forest, a state-of-the-art machine-learning algorithm. Random forests consist of ensembles of decision trees. If classifying pictures, each tree makes a vote: is that a picture of a fox or a dog? A weighted majority rules. Random forests can serve many ends. They can identify bank fraud and diseases, recommend ceiling fans and predict online dating behaviour. When building a forest, you do not select the best trees as they tend to make similar classifications. You want diversity. Programmers achieve that diversity by training each tree on different data, a technique known as bagging. They also boost the forest ‘cognitively’ by training trees on the hardest cases - those that the current forest gets wrong. This ensures even more diversity and accurate forests.Yet the fallacy of meritocracy persists. Corporations, non-profits, governments, universities and even preschools test, score and hire the ‘best’. This all but guarantees not creating the best team. Ranking people by common criteria produces homogeneity. . . . That’s not likely to lead to breakthroughs.Which of the following conditions, if true, would invalidate the passage’s main argument?
....

MCQ-> Study the following information carefully and answer the questions given below :A. B, C. D, F, G and H are seven football players each playing for a different team. viz. Green.- Red and Blue, with at least two of them in each of these teams. Each of them likes a fruit, viz. Apple. Guava. Banana. Orange, Mango. Papaya and Watermelon, not necessarily in the same order. B plays with F in team Blue and he likes Mango. None of those who play for either team Red or team Green likes either Guava or Banana. D plays with only the one who likes Watermelon. G likes Papaya and he plays in team Red. The one who likes Orange does not play in team Red. 1-1 likes Watermelon and he plays for team Green. A likes Apple and he plays for team Red. C does not like Guava.Which of the following players play for team Red ?
....

MCQ-> There are 21 employees working in a division, out of whom 10 are special-skilled employees (SE) and the remaining are regular-skilled employees (RE). During the next five months, the division has to complete five projects every month. Out of the 25 projects, 5 projects are "challenging", while the remaining ones are "standard". Each of the challenging projects has to be completed in different months. Every month, five teams — T1 T2, T3, T4 and T5, work on one project each. T1, T2, T3, T4 and T5 are allotted the challenging project in the first, second, third, fourth and fifth month, respectively. The team assigned the challenging project has one more employee than the rest. In the first month, T1 has one more SE than T2, T2 has one more SE than T3, T 3 has one more SE than T4, and T4 has one more SE than T5. Between two successive months, the composition of the teams changes as follows: a. The team allotted the challenging project, gets two SE from the team which was allotted the challenging project in the previous month. In exchange, one RE is shifted from the former team to the latter team. b. After the above exchange, if T1 has any SE and T5 has any RE, then one SE is shifted from T1 to T5, and one RE is shifted from T5 to T1. Also, if T2 has any SE and T4 has any RE, then one SE is shifted from T2 to T4, and one RE is shifted from T4 to T2. Each standard project has a total of 100 credit points, while each challenging project has 200 credit points. The credit points are equally shared between the employees included in that team.The number of times in which the composition of team T2 and the number of times in which composition of team T4 remained unchanged in two successive months are:
....