8579 = 20.5% of x<br> What is x

your bank balance is 515.50. if you write a check to buy a watch, your balance would be 496.11. how much dose the watch cost ? w

grin007 [14]

<h2>Hello!</h2>

The answer is:

$WatchCost=StartingBalance-EndingBalance\\\\WatchCost=515.50-496.11=19.39$

The cost of the watch is $19.39.

To solve the problem, we can create a linear equation using the given information about the starting balance and the ending balance.

We know that the starting balance was $515.50, and then, after writing a check to buy the watch, the balance was $496.11, so, writing the function we have:

$WatchCost=StartingBalance-EndingBalance\\\\WatchCost=515.50-496.11=19.39$

Hence, we have that the cost of the watch is $19.39.

Have a nice day!

5 0

3 years ago

A box of matching game pieces contain a red pieces five green pieces seven yellow pieces you reach in and randomly take out one

Anit [1.1K]

Answer:

5/156

Step-by-step explanation:

First, how many pieces?

1 red+ 5 green + 7 yellow = 13 pieces

We draw a piece

The probability it is green

P(green) = number of green/ total

= 5/13

Now there are only 12 pieces left

Probability the second piece drawn is red

P(red with 1 piece removed) = number of red/ total left

= 1/12

P(green, then red) = P(green) * P(red with 1 piece removed)

= 5/13 *1/12

=5/156

3 0

3 years ago

PLEASE HELP AND EXPLAIN REWARDING A LOT

tresset_1 [31]

Answer:

this is a question.

Step-by-step explanation:

5 0

2 years ago

Cars arrive at the Wendy's drive-through at a rate of 1 car every 5 minutes between the hours of 11:00 PM and 1:00 AM. on Saturd

mestny [16]

Answer:

1) $P(X = 8) = 0.1033$

$P(X = 9) = 0.0688$

2) Expected number of 200 restaurants in which exactly 8 customers use the drive-through: 20.66

Expected number of 200 restaurants in which exactly 9 customers use the drive-through: 13.76

Step-by-step explanation:

In a Poisson distribution, the probability that X represents the number of successes of a random variable is given by the following formula:

$P(X = x) = \frac{e^{-\mu}*\mu^{x}}{(x)!}$

In which

x is the number of sucesses

$e = 2.71828$ is the Euler number

$\mu$ is the mean in the given time interval.

Question 1. Use the Poisson distribution to calculate the probability that exactly 8 cars will use the drive-through between 12:00 midnight and 12:30 AM on a Saturday night at Wendy's. Do the same for exactly 9 cars.

Cars arrive at the Wendy's drive-through at a rate of 1 car every 5 minutes between the hours of 11:00 PM and 1:00 AM. on Saturday nights. This means that during 30 minutes, 6 cars expected to arrive. So $\mu = 6$ .