We have that
<span>negative 3, left-parenthesis space right-parenthesis, negative 1 and one-eighth
</span>[-3,( ),-1,1/8]
we know that
<span>the number to insert must be between -3 and -1------> (-3,-1)
</span>
<span>A. negative 3 and one-half -------> is not in the interval (-3,-1)
B. 0 </span>-------> is not in the interval (-3,-1)<span>
C. negative 2 and one-fourth ----> -2 1/4 belong to the interval (-3,-1)
D. one and one-half </span> -------> is not in the interval (-3,-1)
therefore
the answer is the option
C. negative 2 and one-fourth
Bag D; there are 12 counters in total and 2 blue counters, therefore the probability is 2/12, which is equal to 1/6.
Answer:
0.3898 = 38.98% probability that there will be 4 failures
Step-by-step explanation:
A sequence of Bernoulli trials forms the binomial probability distribution.
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.
Let the probability of success on a Bernoulli trial be 0.26.
This means that
a. In five Bernoulli trials, what is the probability that there will be 4 failures?
Five trials means that
4 failures, so 1 success, and we have to find P(X = 1).
0.3898 = 38.98% probability that there will be 4 failures
Answer:
Step-by-step explanation:
=)
Hope this helps!
Answer:
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Step-by-step explanation:
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