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What is the probability of rolling a pair of dice and obtaining a total score greater than 9?

It is 1/12.


What is the probability of rolling a pair of dice and obtaining a total score of 9 or more?

It is 10/36 = 5/18


What is the probability of obtaining a score from a distribution that would have a z score of -1.55 or smaller?

It is 0.0606


What is the probability of obtaining a z-score less than 0.50?

It is 0.6915


What is the probability of rolling a total score of 10 or greater?

Assuming you are rolling six sided dice. You could roll (4,6)(5,5)(5,6)(6,4)(6,5)(6,6) 6 ways / 36 total opportunities =1/6


What is the probability of randomly selecting a z score greater than z equals -80?

0.7881 approx.


What is the probability of rolling two numbers whose sum is greater than or equal to 10?

With two tetrahedral dice labelled 1-4 the probability is zero as the maximum score possible is 8.With two cubical dice labelled 1-6, the probability is 6/36 = 1/6Other d&d dice (d8, d10, d12, d20) are left as an exercise for the reader.


An ordinary six-sided dice is thrown what is the probability that the score is less than 3?

There are six possible outcomes of rolling a six sided die.However, only two of these (1 and 2) are favorable.So, the probability of rolling less than three is 2/6 = 1/3.


What is measured by the numerator of the z-score test statistic?

The z-score, for a value z, is the probability that a Standard Normal random variable will have a value greater than z.


What is the probability of randomly selecting a score from a normal distribution with a value greater than z equals -2?

Pr(Z > -2) = 97.725%


An ordinary six-sided dice is thrown what is the probability that the score is greater than 3?

P(score>3)=1/6+1/6+1/6=3/6=1/2


How do you calculate probability when mean and standards deviation are given?

To calculate probability when the mean and standard deviation are given, you typically utilize the properties of the normal distribution. First, convert your value of interest (X) into a z-score using the formula ( z = \frac{(X - \mu)}{\sigma} ), where ( \mu ) is the mean and ( \sigma ) is the standard deviation. Once you have the z-score, you can use a standard normal distribution table or calculator to find the probability corresponding to that z-score. This gives you the likelihood of obtaining a value less than or equal to X.