Ask question

Ask question

All categories

3 years ago

11

Nicholas is buying shirts for his baseball team. He will pay $8.75 for each shirt plus a one-time fee of $25 for the design. Wri

te an equation that can be used to find y, the total cost to buy x shirts.

1 answer:

Margaret [11]3 years ago

3 0

Answer:

Y = 8.75x + 25

Step-by-step explanation:

You might be interested in

The algebraic expression 6x - 4 can

sveticcg [70]

Answer:

Six times a number x less than four less than six

8 0

3 years ago

Producing a musical costs $88,000 plus $5900 per performance. one sold out performance earns $7500 in revenue. If every performa

yan [13]

X = # of perfomances

y = total amount of money

Income: y = 7500x

Expense: y = 5900x + 88000

Substitution:

7500x = 5900x + 88000

1600x = 88000

x = 55

y = 7500(55) = $412,500

55 performances are needed to break-even.

5 0

3 years ago

Rashid solved a fraction division problem using the rule “multiply by the reciprocal.” His work is shown below.

taurus [48]

Rashid solved the problem correctly

7 0

3 years ago

Write 6 ratinol numbers between - 3 and - 4<br><br>

WARRIOR [948]

Answer:

-3.1, -3.2, -3.3, -3.4, -3.5, -3.6

Step-by-step explanation:

7 0

2 years ago

QUESTION 1 The driving distance for the top 100 golfers on the PGA tour is between 284.7 and 310.6 yards.Assume that the driving

GarryVolchara [31]

Answer:

$P(X>300)$

And we can find this probability with the complement rule:

$P(X>300)= 1-P(X$

Step-by-step explanation:

For this case we define the random variable X ="driving distance for the top 100 golfers on the PGA tour" and we know that:

$X \sim Unif (a=284.7, b=310.6)$

And for this case the probability density function is given by:

$f(x) =\frac{1}{310.6 -284.7} =0.0386 , 284.7 \leq X \leq 310.6$

And the cumulative distribution function is given by:

$F(x) =\frac{x-284.7}{310.6-284.7} , 284.7 \leq X \leq 310.6$

And we want to find this probability:

$P(X>300)$

And we can find this probability with the complement rule:

$P(X>300)= 1-P(X$

6 0

3 years ago