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alexdok [17]
3 years ago
9

Write the ratio as a fraction in simplest form. 4 : 40

Mathematics
2 answers:
Brut [27]3 years ago
7 0
The answer is:  " 1:10 " .
___________________________________________
 Note:  4: 40 = 4/40 = (4÷4)/(40÷4) = 1/10 ; or, 1:10 .
___________________________________________
Alenkinab [10]3 years ago
3 0
The Answer To This Would 1 : 10 Because You Have To Divide Both By 4 So 4 Divided By 4 Gives You 1 And 40 Divided By 4 Gives You 10 

~ Hope This Helps :)
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The car dealership has a newer model usually sold for $25,500 but they are
garik1379 [7]

Answer:

your a dumb

Step-by-step explanation:

7 0
3 years ago
In order to determine the average weight of carry-on luggage by passengers in airplanes, a sample of 25 pieces of carry-on lugga
Fynjy0 [20]
To find the standard error, divide the standard deviation by the square root of the sample size

standard deviation = 7.5
sample size = 25......sqrt 25 = 5

standard error = 7.5 / 5 = 1.5 <==
6 0
3 years ago
The number of minutes that Samantha waits to catch the bus is uniformly distributed between 0 and 15 minutes. What is the probab
Maslowich

Answer:

option d. 30%

Step-by-step explanation:

Data provided in the question:

a=0

b=15

Now,

The probability density function of the uniform distribution is given as:

f(x)=\frac{1}{15-0}

f(x)=\frac{1}{15}, 0

Therefore,

The required probability will be

P(X

P(X

P(X

P(X

P(X

or

= 0.3 × 100%

= 30%

Hence,

The answer is option d. 30%

5 0
3 years ago
Does this graph represent a function?
Alex73 [517]

Answer:

No, because it fails the vertical line test

3 0
3 years ago
A large industrial firm allows a discount on any invoice that is paid within 30 days. of all invoices, 10% receive the discount.
Daniel [21]
This situation has two outcomes: either an invoice is discounted or not. This two outcomes satisfy what we call a binomial distribution (note "bi" in binomial).

The binomial distribution tells us the probability that a randomly selected sample will have the outcome of success. In this case, we consider receiving the discount as the "success" outcome while not receiving it means "failure". The distribution takes the form:

P(X=x)= _{n}C_{x} p^{x}  q^{n-x}
where n is the total number of samples, x is the number of samples you'll expect to have a success outcome, p is the probability of success, q is the probability of failure, and nCx is the combination of n samples taken x at a time.

You have an inconsistency regarding the total number of samples by the way, but I will take the first mentioned sample of 15 as I answer (you can just follow through the same process for another value).

For the next step, let's digest the problem to get the needed variables.

The total number of samples, n, is equal to 15. The probability of success (receiving a discount), p, is 10% or 0.1, and the probability of failure (not receiving a discount) is 90% or 0.9.

For P(X=x), we need to find the probability that less than two of the samples have success outcomes therefore we need to find the probability that NO invoice will receive the discount plus the probability that ONE invoice will receive the discount. This is equivalent to saying
P(X\ \textless \ 2)=P(X=0)+P(X=1)

Calculating these probabilities we'll get:
P(X=0)= _{15}C_{0} (0.1)^{0} (0.9)^{15}=0.206
P(X=1)= _{15}C_{1} (0.1)^{1} (0.9)^{14}=0.343
P(X\ \textless \ 2)=P(X=0)+P(X=1)=0.206+0.343=0.549

ANSWER: The probability that fewer than 2 sampled invoices will receive the discount is 0.549 or 54.9%.
6 0
3 years ago
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