A new optimization parameter in a statistical sample !

It reflects the quality scope of the citations. Its the total percentage of a citation that goes into defining a particular citation index. Let me call it q-index therefore (q for quality)

See this example.

My h-ind is 60. So total (minimum) citation it accounts for is 60*60 = 3600. My total citation is 12215. So my q-ind is 3600/12215 = 29.47% Or 29.47% of my total citation were important for this parameter. Hence my q-index is 29.47. In this way if someone has 500 total citation with h-index 60, he has a much better q-index than mine, because more of his paper are highly cited

Whats the population; if male and female literacy is given as percentage.

May I add one more small note, see how easy it becomes to understand an “order of estimate”; A good student, that is one with a good maths background, should immediately pick up, population ~ 1.19 million. 61.26 % male. 58.04 % female. (Not only literate but total male and female). Then even, one question can be asked, what is male-female disparity, in terms of their population. (That is, without regard, to any further attributes, such as literacy numbers, or purchasing power distributions etc, which are btw non-existent variables in India, because research in India means Governmental Apathy.)

Its a slightly tricky question, if you already note, there is a mistake in the above, The % is not scaled to 100. Its an over-estimation by a factor of 1.193, and the really smart student recognizes this, (s)he doesn’t go and change all calculations. See how all numbers came just from the first few digits of the given numbers; 11,92,948 >> 1.19 million, vs over estimation factor; 1.193 (or less precise 1.19). Male: 6,12,597 >> overestimated percentage: 61.26. Female; 5,80,351 >> overestimated percentage: 58.04.

You would know they are over-estimated, because these two numbers, male and female population, while exclusive parameters, hence must add up to normal: 100 or 1.00, added up to 61.26+58.04 = 119.30, or (61.26+58.04)/100 = 119.30/100 = 1.193, do you see how easily, without doing any further adding etc, I caught the actual overestimation factor, above, to be 1.193? Cool Huh? Just from the first few numbers. If maths runs in your mind, you can do all these, if it doesn’t, but you have the right numbers, you will be led to believe nobody would catch your mistakes, and lie about the numbers. Possible. Just from the numbers as are stated, we can, catch the inconsistency, thats why maths education is important. In-fact, I committed the mistakes and wanted to catch the inconsistency, and from the calculations gradually caught it, so a more consistent picture was envisaged.

Arrange them in the order of popularity on face-book.

Arrange them in the order of popularity on face-book.

Yo Yo Honey Singh. Tommy Hilfiger Brand, Shahrukh Khan, Amitabh Bachchan, Sunidhi Chauhan.

Yo Yo (8.2 million) >> more than >> Tommy (7.6 million) >> more than >> Amitabh (6.4 million) >> more than >> Sunidhi (5.8 million) >> more than >> shahrukh (5.0 million)

1. It proves people can be more famous than brands. People can be brands.

2. Musicians can be more famous than actors. (musicians and actors of same culture has been compared )

A Question a day, Q4 (series)

Question:

Liliana has a bag of marbles. The bag contains 18 black,
15 red, 11 blue, and 8 white marbles. Liliana randomly takes
a red marble from the bag and leaves the marble on a table.
What is the probability that she will next take a red or a white
marble from the bag?

You know Einstein was very clever. (Information Theory in Physics )

Then he goes S = Int{Ldt}, action is the total amount of specified definitions of energy over all of time, and action is a kind of information if we are dealing with a statistical system of L {energy} because Energy is not known precisely, or rather action is not, this fact is brought in by saying the time is an information or a PLAN, because things are not known precisely although depend on other well defined factors. Then he sees that since interactions of different chunks of Energy with each other which are not known very precisely gives rise to heat or temperature, temperature here serves as information or PLAN. Then this is still called S, akin to action because S again is information or imprecise or statistical. Then they call it Entropy. {Perhaps for INTERnal-Energy = Intropy} But this other factor temperature also is denoted by same initial T. Since T has to be a fundamental parameter as are Energy and Entropy it can go anywhere, in denominator or numerator and sitting below sometimes feels good so they give T the chance to do that. Its better to heat from below. Heat works that way. But Time T sits on top, see: S = Int{Ldt}.