Statistics

4C2(1/2)4 = 6/16 = 3/8

A decimetre is 1/10 of a metre so there are 10 decimetres to 1 metre.

4.5 metres = 45 decimetres

You can use a tree diagram or a binomial:

I choose a binomial:

8!/(4! * 4!) * .5^4 * .5 ^ 4

70 ways 8 flips can end in 4 v 4, * chance of 4 heads, * chance of 4 tails = .2734375 ~ 27.34 percent.

10000

If we plant 5 tulip it could grow 3 only

5.777778 or rounded to the nearest tenth decimal place 5.8

win, lose, compromise

Since you didn't specify the suit of the jack, there are two possible answers. If the jack was a spade, the probability of drawing another spade is 12/51 or 23.5%. If the jack was NOT a spade, the probability of drawing a spade is 13/52 or 25%.

There are 10 decimetres in one metre. Therefore, 6113 metres is equal to 6113 x 10 = 61130 decimetres.

1/26

Since there are 6 sides on each die, and you have 3 dice, you do 6x6x6. Which is 216 combinations.

Leaving out equivalent permutations, around 50:

1+2+9

1+3+8

1+4+7

1+5+6

2+2+8

2+3+7

2+4+6

2+5+5

3+3+6

3+4+5

4+4+4

1*2*6

1*3*4

2*2*3

4+9-1

5+9-2

5+8-1

6+9-3

6+8-2

6+7-1

7+9-4

7+8-3

7+7-2

8+9-5

8+8-4

9+9-6

21*6

22*3

2*61

3*41

31*4

0!*3!*2

0!*4!/2

1!*3!*2

1!*4!/2

0!*3!*2!

0!*4!/2!

1!*3!*2!

1!*4!/2!

3!*2/0!

3!*2/1!

3!*2!/0!

3!*2!/1!

4!/(2!*1)

4!/(2!*1!)

4!/(2!*0!)

5!/(5*2)

5!/(5*2!)

Not necessarily.

the variation of a set of numbrs

Parameter

Because it is always inherited, and hormone plays a big part.

First decide what you want. The economy encompasses employment and unemployment, incomes and wealth, output and sales, international trade, investment, company formation etc. Within each one of these broad topics there are many hundreds (or thousands) of sets of data. Some of these may be relevant to the question at hand while others will not.

Most countries have a National Statistical Office or an Government Economic Department that will collect and publish data on their economy. Additionally, international and pan-national bodies like the United Nations, World Bank, International Monetary Fund (IMF), Oragnisation for Economic Cooperationand Development (OECD), Eurostat also collate and publish figures for member states. Most of these data are available over the internet.

Median .

If this is regarding probability, there are two cases:

E[Y] = (Summation) yp(y) in the discrete case. For example a fair dice has 1/6 probabilty for each event (of getting one value). so the sum is from 1 to 6 of yp(y). = 1(1/6) + 2(1/6) + 3(1/6) + 4(1/6) + 5(1/6) + 6(1/6) = (1/6) ( 1+2+3+4+5+6) = 21/6 = 3.5. So E[Y] for a fiar dice is 3.5

E[Y]= (intergral from -infinity to infinity) yf(y)dy , where f(y) is the density function for the continuous case. The integral must exits to be evaluated.

The difference between the two is basically the domain. If you dealing with integers you can use the discrete case, if you dealing with real numbers you have to use calculus.

Did this help?

There is not enough information in the question to determine if the t-distribution is the appropriate model to use. If it is, then, with, a sample size of 95 the z-score for the Gaussian distribution is a suitable approximation. The probability is 0.199, approx.

MHz (megahertz) means millions of cycles per second. For example, if something has a frequency of 100 MHz, something will repeat at a rate of 100 million cycles per second.

10+59,000=..... *76 to get ur answer