Probability

The probability the shooter makes both shots is .7 * .7 = .49, and the probability of making neither is .3 * .3 = .09. So the probability of making exactly 1 out of 2 is 1 - .49 - .9 = .42, or 42 percent.

http://www.emathzone.com/tutorials/basic-statistics/definition-of-probability.html

The z score, for a value y, is (y - 18.6)/4

There are 36 equally-likely possibilities for a 2-dice roll (six possibilities for each die, multiplied together). Let's consider the probability of the sum being less than or equal to 4. There is only one way to roll a 2 (1+1), there are two ways to roll a 3 (1+2, 2+1), and three ways to roll a 4 (1+3, 2+2, 3+1). So there are 6 ways to roll at most a 4, meaning that there must be 36-6=30 ways to roll more than a 4. The probabiliity of rolling a sum greater than 4 is therefore 30/36, or 5/6.

No, the Z-test is not the same as a Z-score. The Z-test is where you take the Z-score and compare it to a critical value to determine if the null hypothesis will be rejected or fail to be rejected.

symmetrical :)
i do believe!
hope this helps!
Pixie
x

Standard deviation is the square root of the variance; so if the variance is 64, the std dev is 8.

Subtraction and division.

While 2+ (3+4) = 2+ (4+3), the subtraction 2-(3-4) ≠ 2-(4-3). One yields 3 while the other yields 1.

Similarly, multiplication has this property while division does not.

1% total

0.5% in either direction

Hasty generalizing

If you toss a fair coin 250 times , about how many times should it land on tails?

the outcomes are 50:50.

1/3

Probability is defined as the number of ways an outcome can occur divided by the number of possible outcomes. For the coins, there are 4 outcomes (HH, HT, TH, TT). On the cube, there are 6 possible outcomes. The total number of outcomes is then 4*6 = 24. Since there is only 1 way to obtain HH, look at the cube outcomes. With the HH outcome, the cube would need to fall on a 4. So, there is only 1 way a HH4 can occur. Therefore the probability of getting 2 heads and a four is 1/24 or 0.04167.

5. Assuming the first four are all different suits, the 5th card must be a duplicate suit. If any prior to the 5th card is not a new suit, it is garunteed to be a duplicate of a prior suit.

An event that will definitely happen is an event with 100% probability.

The binomial distribution is defined by two parameters so there is not THE SINGLE parameter.

1. hello!!

The probability of drawing 3 hearts in a row in a 52 card deck is 13/52 * 12/51 * 11/50 = 1716/132600 = 0.01294, or approximately 1 chance in 77.

The probability of drawing a king is 4:52
The probability of drawing a diamond is 13:52 (or 1:4)
The probability of drawing a king (0.07692...) then replacing that king into the deck then drawing a diamond is 0.019230769.

If you leave the king out, the probability will be slightly greater (4/52) * (13/51)

Unless the king you left out of the deck was a king of diamonds, in which case, the probability would be (4/52) * (12/51)

Charts typically show and list the area to the left of the Z-Score value. To find the area to the right, just subtract the Z-Score value from 1; e.g. if the Z-Score value is .75 then take 1-.75 = .25.

Stratified Random Sampling. Google it. .

10*9*8=720

First suppose the two consecutive integers bex and x+1then according to the situationx+x+1=452x+1=452x=45-12x=44x=44/2x=22now our assumed consecutive integers were x and x+1 , Now put x in itx=45x+1=45+1 =46Thus the Solution set is {(45,46)}