0
What else can I help you with?
A binomial experiment has how many outcomes to each trial?
two; success or failure
What is an example of a binomial experiment?
A binomial experiment is a experiment that consists of repeated trails, with two possible outcomes. An example of this would be a coin toss.Ê
Can a binomial experiment be used to find the probability of 4 outcomes of .20 and 16?
If the question is about 4 successful outcomes out of 16 trials, when the probability of success in any single trial is 0.20 and independent of the outcomes of other trials, then the answer is, yes, the binomial experiment can be used.
Are outcomes of binomial experiment dependent on each other?
No, the outcomes of a binomial experiment are considered independent if the probability of success remains the same for each trial and the trials are performed under the same conditions. Each trial's outcome does not influence the outcome of subsequent trials.
When is binomial distribution used?
Binomial distribution is learned about in most statistic courses. You could use them in experiments when there are two possible outcomes and each experiment is independent.
What are four requirements for binomial distribution?
A binomial experiment is a probability experiment that satisfies the following four requirements:1. Each trial can have only two outcomes or outcomes that can be reduced to two outcomes. These outcomes can be considered as either success or failure.2. There must be a fixed number of trials.3. The outcomes of each trial must be independent of each other.4. The probability of a success must remain the same for each trial.
What are the conditions needed in a binomial experiment?
A binomial experiment must meet four specific conditions: there are a fixed number of trials, each trial has only two possible outcomes (success or failure), the trials are independent of each other, and the probability of success remains constant across all trials. These conditions ensure that the experiment can be analyzed using the binomial probability formula.
How many experimental outcomes are possible for the binomial and the Poisson distributions?
The binomial distribution is a discrete probability distribution. The number of possible outcomes depends on the number of possible successes in a given trial. For the Poisson distribution there are Infinitely many.
Is rolling a single loaded die 58 times keeping track of the numbers tat are rolled binomial distrubition?
No. A binomial distribution consists of trials with only two possible outcomes. The experiment described in the question has six - unless the die is so seriously loaded that only two outcomes are possible.
How many outcomes do you get from rolling 3 coins?
23 or 8 outcomes. In any experiment with two outcomes, if you do the experiment n times there are 2n outcomes. This about each time you roll the coin have two possible outcomes, H or T. So if you roll it 2 times, you have 4 possible outcomes. HH, HT, TH or TT. Do it one more time and you have 8 outcomes. HHH, HHT, HTH, THH TTT TTH THT HTT Notice there are 1 outcome with 3 heads, 1 with 3 tails 3 with two heads 3 with two tails This pattern follow the binomial theorem. The coefficients of the binomial (H+T)3 are 1 3 3 1. The same numbers as we have above!
Are outcomes in binomial distributions dependent on each other?
No.
A binomial trial is one in which there are four possible outcomes.?
false
