Q: The probability of an event is 20 percent How many times should you expect this event to occur in the given number of trials 15 trials 40 trials 75 trials 120 trials?

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There are 6 sides on a die, so the denominator should be 6. The number 3 appears on the dice once, so the fraction probability should be 1/6.

Assume the coin is fair, so there are equal amount of probabilities for the choices.There are two possible choices for a flip of a fair coin - either a head or a tail. The probability of getting a head is ½. Similarly, the probability of getting a tail is ½.Use Binomial to work out this problem. You should get:(5 choose 4)(½)4(½).(5 choose 4) indicates the total number of ways to obtain 4 tails in 5 flips.(½)4 indicates the probability of obtaining 4 tails.(½) indicates the probability of obtaining the remaining number of head.Therefore, the probability is 5/32.

The difference between experimental probability and theoretical probability is that experimental probability is the probability determined in practice. Theoretical probability is the probability that should happen. For example, the theoretical probability of getting any single number on a number cube is one sixth. But maybe you roll it twice and get a four both times. That would be an example of experimental probability.

Not necessarily. There may not even be a way to work out a theoretical probability. Furthermore, there is always a chance, however small, that the experimental probability is way off.

I apologize my question should have read what are the characteristics of a standard normal probability distribution? Thank you

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That means that you should roll a die many times, count how often you get the number "2", then divide this by the total number of rolls. If the die is "fair" (no extra weight on one side), you would expect this experimental probability to be somewhere close to the theoretical probability of 1/6, at least, if you roll often enough.

Probability is a numerical value and there must bea number, not just include one.

All numbers should have the same probability of appearing. The fact that some number appeared (by chance) more often in the past, has no bearing on the future probability.All numbers should have the same probability of appearing. The fact that some number appeared (by chance) more often in the past, has no bearing on the future probability.All numbers should have the same probability of appearing. The fact that some number appeared (by chance) more often in the past, has no bearing on the future probability.All numbers should have the same probability of appearing. The fact that some number appeared (by chance) more often in the past, has no bearing on the future probability.

Probability is a numerical measure. Occasionally, though, it is expressed in words such as very likely or not at all likely. But these phrases are (or should be) based on the fact that probability itself is a number.

The probability should be 0 (zero). 153 is not between 1 and 100. If you meant your number generator to return a number between 1 and 1000, the probability would be 1/1000 = .001 = .1%

A typical statement in the field is the desire to "have a 95 percent probability of meeting time and cost estimates."

13 out of 52. _____________________ It should be 20 out of 52 if Ace is included as a number card. Not including ace the probability is 18 out of 52.

Anyone can flip a coin four times so I say 100 percent probability. On the other maybe you should ask the odds of the results from four flips.

There are 6 sides on a die, so the denominator should be 6. The number 3 appears on the dice once, so the fraction probability should be 1/6.

Ten percent

The expected number of rolls under 3 is the number of rolls times the probability of rolling less than 3. So: E(rolls less than 3 out of 30) = 30 * 1/3 = 30/3 = 10

When a whole number is given- divide the percent given into the whole number and you will get the original number 39\40 should equal 97.5 great fun you should try it. Works every time.