Who has a comparative complete probability and statistical data

Take 4 steps and cross 6 steps, which means that the result is two positive and two negative, in this case there are c(4,2)=6 cases, a total of 2 4=16 cases, so the probability is 6 16 = 3 8

3 8 is equivalent to the appearance of two heads; The probability of two opposites.

1 The vertical axis brackets are 2, 4, 6, and 8 from the bottom to the top

2 Add a white bar after the most rolling royal shout, and the excellent black bar is high on one side (height is 5)3 As you can see from the picture, the class size is: 5+4+6+10+5+5 = Ohno 35 (people).

The number of outstanding people is: 5 + 4 = 9 people.

The excellent rate is: 9 35 100% =

Probability theory was born in the seventeenth century, and was originally born from the development of insurance, but the request from gamblers was the source of mathematicians' thinking about the problems in probability theory.

As early as 1654, a gambler, Melon, posed a question to the mathematician Pascal that had troubled him for a long time: "Two gamblers agree to bet on a number of games, and whoever wins the game first will win, and the whole bet will belong to whom." But when one of them wins a (a<>

(1) Solution: (x's pull-u) ( (n 1 2)) n(0,1) (standard normal distribution) (n 1 2: represents n square).

So: p=p=p=2* (1 )-1= (In this case, you need to check the table of the standard normal function (1)=.)

2) Solution: (x's pull-u) (s (n (1 2)) t(n-1) (t-distribution with degrees of freedom n-1) where s is the sample variance squared.

Therefore: p=1-p=1-(2*The value here is taken as an approximation) In this case, you need to check the table of the distribution of the statistic t)=

Wrong. If you set x to 9 or more shots.

When p(x=1), you only consider one situation, in fact, there are three cases: the first shot, the second shot, or the third shot.

So p(x=1)=(, the rest of the same analysis, may be the first and second, the first and third, the second and third.

p(x=2)=3*(, and p(x=3) has only one case, all in p(x=3)=

Each time: the probability of more than 9 rings.

Each time: the probability of less than 9 rings.

Shoot three times, all with a probability of less than 9 rings.

p=c(3,3)*(

If you shoot three times, the probability of hitting more than 9 rings (including 9 rings) is.