Probability

Not all univariate data will be normally distributed. Graphing the data will help you determine if you got the kind of distribution you were expecting, and if not, what kinds of tests will be appropriate for what you got. A strange distribution when you had reason to expect, say, a normal distribution would help you uncover possible problems with data collection.

The law of large numbers infers you will have 50% heads.

Mack has a 49% better chance of developing the disease than the fraternal twins

Assuming the questions are answered at random, the probability is 0.000009, approx.

1/4 * 4/17 = 1/17.

Or more clearly:

13/52 * 12/51 = 1/4 * 4/17 = 1/17

Aces and 9s are disjoint events, so the probability of either is the sum of the probabilities of each.

P(A or 9) = P(A) + P(9) = 1/13 + 1/13 = 2/13

Assuming you mean probabilities of 0.25 and 0.47, multiply them together to get the combined probabilities.This assumes that the probabilities are independent of one another. This is not always the case in real life; for example, if the company only has one open position, the probability of both being selected would be ZERO.

In an ordinary deck of 52 cards, the probability that a single, randomly drawn card is a six, is 1/13.

Actually there are four names: Graduation, wedding, pregnancy, divorce. Death used to be one, but then it became inconsequential due to the lack of interest by the participant.

If two events ARE mutually exclusive, then it means that they can not both happen simultaneously. For example, if we flip a coin, it can only be heads or tails, not both. an example of not mutually exclusive events are strong winds and rain. it could be strong wind, or rain, or both.

They are probabilities: that is, estimates of the likelihood of an event happening.

It depends on how many other positions are on the spinner. The question, as asked, cannot be answered. Please restate the question, giving also the total number of positions on the spinner.

There are different values that are shown on each card. Furthermore, the value of the card depends on the game. In cribbage, for example, Jacks are worth 5. In blackjack, they are worth 10.

10 million identical and 115 nonidentical.

Antacids neutralize acid, especially acid found in the stomach. They help cause rapid relief for heartburn.

The probability of being dealt a full house in poker is 3744/2,598,960 or 1 in 694. The probability of moving up from a full house in poker is 4/47.

Check with http://www.indepthinfo.com/probability-poker/full-house.shtml

The probability of the school in this city being closed is the same as the probability of Iceland being covered in a cloud of ash to the extent of Airplanes being cancelled.....so yea, pretty good :D

One limitation of statistics is that everyone doesnÕt understand them or how to use them. There is also a possibility for errors.

8x-3=6

8x=9

x=9/8=1 1/8=1.125

The standard deviation for a single observation is 0.

the statistically independent random variables are uncorrelated but the converse is not true ,i want a counter example,

The chance is 50%-50% that it will be heads or tails; this does not change regardless of the number of previous tosses and their results.

The 13 cards in each suit in a deck of 52 playing cards are: Ace, 2, 3, 4, 5, 6, 7, 8, 9, 10, Jack, Queen & King.

The probability is 17C4 = 2380

No, it is the name given to the Gaussian distribution.