Answer:
It depends on how many people there are, and how much pizza they want.
Answer:
0.029991 = 2.9991% conditional probability that exactly two of the children will be allergic to peanuts, given that at least one of the three children suffers from this allergy
Step-by-step explanation:
For each children, there are only two possible outcomes. Either they are allergic to peanuts, or they are not. The probability of a children being allergic to peanut butter is independent of other children. So we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.
In which is the number of different combinations of x objects from a set of n elements, given by the following formula.
And p is the probability of X happening.
3% of children in the United States are allergic to peanuts.
So
Three children:
So n = 3,
The probabilities are:
What is the conditional probability that exactly two of the children will be allergic to peanuts, given that at least one of the three children suffers from this allergy?
This is
In which
So
0.029991 = 2.9991% conditional probability that exactly two of the children will be allergic to peanuts, given that at least one of the three children suffers from this allergy
Answer:
m=3
x=11/2
x=1/2,x=-3/10
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Answer:
<em>d</em> < 8
Step-by-step explanation: Obviously, you need to find out what D is. First you do the opposite of positive 4 to make it 0. You have to subtract 4, so you therefore subtract 4 from 52 as well, which is 48. Now you find out what 48/6 is to get the value of <em>d </em>which is < (less than) 8. Any <em>d </em>value less than 8 will give us a valid answer, however any <em>d </em>value more than 8 will give you an invalid answer.
Answer:
The standard deviation for annual precipitation in St. Louis is 6.48 inches.
Step-by-step explanation:
Problems of normally distributed samples are solved using the z-score formula.
In a set with mean and standard deviation , the zscore of a measure X is given by:
The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.
In this problem, we have that:
If 17.75% of the time, the annual precipitation is more than 40 inches, what is the standard deviation for annual precipitation in St. Louis
This means that Z when X = 40 has a pvalue of 1-0.1775 = 0.8225. So when X = 40, Z = 0.925.
The standard deviation for annual precipitation in St. Louis is 6.48 inches.