it cost $5 for a snow cone. which function rule correctly relates the number of snow cones purchase , s,to the cost, c

2 answers:

8 0

Each cones is $5 so to get the total cost, you would multiple $5 by the number of cones sold so that would be c = 5s

Final answer: c = 5s

Mumz [18]3 years ago

4 0

Answer:

c = 5s

Step-by-step explanation:

Given:

The cost of a snow cone = $5

We need to find the function for the total cost.

The number of snow purchase "s" and "c" represents the total cost of "s" number of snow cones.

The function is c = 5s

Let's check it out.

If you buy 3 snow cone, you need to plug in s = 3 in the function c = 5s.

c = 5*3

c = $15

The total cost of 3 snow cone is $15

You might be interested in

A line passes through the two given points. Is it vertical, horizontal,or neither? (-1, -1), (-2, -1)

solniwko [45]

Horizontal
As they have the same y coordinates

7 0

3 years ago

Read 2 more answers

The sum of 2 numbers us 19 and their didfference is 55 what are the two numbers

damaskus [11]

Let one no. be x.
then another no. = (19-x).
x - (19 - x ) = 55
2 x - 19 = 55
x = 37
another no. = 19 - 37 = -18

Can you follow me and like me please? I hope i can help you more.☺

4 0

3 years ago

2. Xamdi is having a birthday party. The event location says the total cost includes a fixed rental fee of $80 and $10 per guest

Stells [14]

80+10x is the expression. To find the cost for 9 guests, simply plug in 9 for x. This becomes an equation reading 80+10(9)=170. The total cost for 9 guests is $170.00.

4 0

3 years ago

Assume that the random variable X is normally distributed, with mean 60 and standard deviation 16. Compute the probability P(X &

elixir [45]

Answer:

P(X < 80) = 0.89435.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

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 question, we have that:

$\mu = 60, \sigma = 16$