It is called a punnet square.
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This is a binomial probability distribution. The number of trials, n, equals 30; and the probability of success is p, which is 0.1. In this problem, you want the probability of at least 5, which is the complement of at most 4. We use the complement because we can subtract from 1 that probability and we will have the solution. The related link has the binomial probability distribution table which is cumulative. Per the table, at n=30, p=0.1 and x = 4; the probability is 0.825. Therefore the probability of at least 5 is 1 - 0.825 or 0.175.
A space diagram is commonly used in mathematics. It is a table which represents a range of work to mostly do with probability! Hope it helps
This is a binomial distribution; number of trials (n) is 6, probability of success (p) is 1/2 or 0.5. With this information you can go to a Binomial Distribution Table and find the solution. Within the section of values for n=6 and p=.5, read from the section the probability of 2 which is 0.2344 (see related link for table).
----------------------------------------------------------------------------------------------------------- ANSWER: Depends on the first supervisor's age and interests. -----------------------------------------------------------------------------------------------------------
You could calculate it by integrating the chi-square probability distribution function but you are likely to be much better off using a table in a book or on the web.
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Change the data to a standard normal distribution and use the table to calculate the probability (areas). * For 75 yd: Z=(75-50)/7 = 3.57; from table area = 0.9998 (use 3.49 value). * For 60yd: Z=(60-50)/7 = 1.43; from table area = 0.9236. Subtract the two areas and you have the probability; 0.9998-0.9236 = .0762 or 7.62%.
Yes, I have it in a book.
thas so true
This is a binomial probability distribution. The number of trials, n, equals 30; and the probability of success is p, which is 0.1. In this problem, you want the probability of at least 5, which is the complement of at most 4. We use the complement because we can subtract from 1 that probability and we will have the solution. The related link has the binomial probability distribution table which is cumulative. Per the table, at n=30, p=0.1 and x = 4; the probability is 0.825. Therefore the probability of at least 5 is 1 - 0.825 or 0.175.
A space diagram is commonly used in mathematics. It is a table which represents a range of work to mostly do with probability! Hope it helps
A z table is used to calculate the probability of choosing something that is normally distributed. In order to use it, first a z score is needed. A z score is the number of standard distributions a value is away from the mean of the data. In order to find the z score, take the value of the datum, subtract the mean, then divide by the standard deviation. The result is a z score. Look up the z score on the table to find the probability of getting anything equal to or lesser than the value you chose.
There is no particular reason. There are times when a table is more useful and others where a tree diagram is better. If the probability of an event changes according to the outcome of an earlier event (for example picking cards without replacing) then a table will be close to useless whereas a tree diagram is perfectly suited.
you use it to calculate numbers
This is a binomial probability distribution; n=12, r=2 & P=.05. Read directly from the table probability of 2 is .099 (plugging this data into my calculator gives 0.09879).
The probability of at least one event occurring out of several events is equal to one minus the probability of none of the events occurring. This is a binomial probability problem. Go to any binomial probability table with p=0.2, n=3 and the probability of 0 is 0.512. Therefore, 1-0.512 is 0.488 which is the probability of at least 1 sale.