USA Today reported that about 20% of all people in the United States are illiterate. Suppose you take eight people at random off a city street. (a) Make a histogram showing the probability distribution of the number of illiterate people out of the eight people in the sample. WebAssign Plot WebAssign Plot WebAssign Plot WebAssign Plot Incorrect: Your answer is incorrect. (b) Find the mean and standard deviation of this probability distribution. (Round your answers to two decimal places.) μ = people σ = people Find the expected number of people in this sample who are illiterate. (Round your answer to two decimal places.) people (c) How many people would you need to interview to be 97% sure that at least seven of these people can read and write (are not illiterate)? people Need Help? Read It Watch It

a) Figure and code attached

b)

c)

And we can calculate this with the complement rule.

So then we have:

And we are interested on the valueof n who satisfy this expression.

And for this we can verify this with the following code:

"=BINOM.DIST(6,E54,0.2,TRUE)"

And as we can see on the second figure attached the value who satisfy the condition would be n = 60.

Step-by-step explanation:

Previous concepts

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".

Solution to the problem

Let X the random variable of interest, on this case we now that:

The probability mass function for the Binomial distribution is given as:

Where (nCx) means combinatory and it's given by this formula:

Part a

We can use the following R code to generate the histogram for this case:

> x <- seq(0,8,by = 1)

> y <- dbinom(x,8,0.2)

> plot(x,y,type = "h",main="Histogram")

And as we can see we got the result on the figure attached. And the distribution seems to be skewed to the right.

Part b

For this case the expected value is given by:

The variance is given by:

And the standard deviation would be:

Part c

For this case we have the following inequality:

And we can calculate this with the complement rule.

So then we have:

And we are interested on the valueof n who satisfy this expression.

And for this we can verify this with the following code:

"=BINOM.DIST(6,E54,0.2,TRUE)"

And as we can see on the second figure attached the value who satisfy the condition would be n = 60.

Okay so for every triangle has three angles that always add up to 180 degrees. and to tell the difference between whether they are secure, right or obtuse is that acute: has one angle that is less than 90 degrees. right triangle means there is at least one angle that is exactly 90 degrees. and an obtuse angle has an angle that is bigger than 180 degrees. i’ll do #13 as an example: 13. 40 and 50 so if every triangle has 180 degrees 40+50= 90 degrees then180-90= 90 degrees so the third angle is 90 degrees and because this triangle has a 90 degree angle it means it is a right triangle

Sometimes life is like a tunnel. you can’t always see the light at the end of the tunnel, but if you keep moving, you will come to a better place