This is the following condition in order to get the specific output for this specific problem: if is_a_prime(n):<span> is_prime = True</span> <span><span>Now all you have to do is write is_a_prime().
For the hard code for this problem:
</span>if n == 2:<span>
is_prime = True
elif n % 2 == 0:
is_prime = False
else:
is_prime = True
for m in range (3, int (n * 0.5) + 1, 2):
if n % m == 0:
is_prime = False
<span>break.</span></span></span>
<span>
To add, a high-level programming language that is widely used for general-purpose programming<span>, created by Guido van Rossum and first released in 1991 is called Python.</span></span>
(10 raised to the power of 6)×3
(10*6) ×3
We are given that 76 persons can complete the job in 42 days.
We need to find the number of days will 56 persons do the same job.
Let us assume that in x number of days will 56 persons do the same job.
Number of days taken by 1 person to complete same work = 76 × 42 =3192 days.
56 person will take =
= 57.
<h3>
Therefore, 57 days will 56 persons do the same job.</h3>
Answer:
Let X the random variable of interest "number of tweets with no reaction", on this case we now that:
And the expected value is given by:

So we expect about 71 tweets with no reaction for this case.
Step-by-step explanation:
Previous concepts
A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
Solution to the problem
Let X the random variable of interest "number of tweets with no reaction", on this case we now that:
And the expected value is given by:

So we expect about 71 tweets with no reaction for this case.