Question 5 10 pts
A grocery store sells 2 boxes of cereal for $4.95. Which method can be used to
find the total cost c of purchasing n boxes of cereal?
O Multiply n by the cost of one box.
O Multiply n by c.
O Divide n by the cost of one box.
Divide n by c.

Multiply n by the cost of the box.

Step-by-step explanation:

hey there,

< For these kinds of problems I always like making ratio tables.

2 boxes → $4.95

n boxes → $?

To find the thing we don't know in any ratio table (marked by "?"), you have to multiply the two opposites and then divide by the last one standing. I know that sounds confusing so let me explain...

"Two opposites" means the two values that are right across from each other, but do not include the unknown ("?"). In this example, the two diagonally across from each other are "n" amd "4.95". "2" and "?" can't be right across from each other because one of those is a "?".

Multiply the two opposites. n × 4.95. Let's not actually simplify since this isn't what we are doing here in this question and leave it like this:

n × 4.95 = (n × 4.95)

Now that we found that, we have to divide it by the last number available. The last number available that we haven't used yet is "2" (it obbviously can't be the unkown number "?").

(n × 4.95)/2

Whatever the result of the above equation is, is the answer.

(n × 4.95)/2 = ?

In our situation, "?" means "c". This is how you would solve any ratio table, it might seem tricky at first but it's actually super easy.

In this question, we are not asked to divide by two because they want to know a method of solving using the cost of one box.

n × (4.95/2)

4.95/2 is the cost of one box. Multiply that by "n" and there is your final answer. >

I seriously hoped this help cause this question was kind of hard to explain. Feel free to ask anything else.

-2 is the right

d. 24+-0.114

step-by-step explanation:

the question requires us to calculate the approximate 95% confidence interval for the mean number of ounces of ketchup per bottle in the sample given the following statistics;

sample mean = 24

standard deviation, σ = 0.4

sample size , n = 49

the confidence interval for a population mean is calculated using the formula;

sample mean ± z-score*(σ/sqrt(n))

the z-score associated with a 95% confidence interval, from the standard normal tables, is;

1.96

substituting these values into the formula;

24 ± 1.96*(0.4/7)

= 24 ± 0.112

from the alternatives given, choice d is closest to the above expression;