All categories

3 years ago

Help i have ten mins

Mathematics

2 answers:

Nimfa-mama [501]3 years ago

6 0

The vertical change is 1/2 **i think**

levacccp [35]3 years ago

4 0

Answer:

1 / 2 = 0.5

Step-by-step explanation:

vertical change = 1

horizontal change = 2

rate of change = vertical change / horizontal change = 1 / 2

You might be interested in

12+ brainliest pppllleeeaaassee

Veronika [31]

The answer would be wx(yz) because the associative property says that you can change where the parenthesis are while keeping the same equation.
The equation is w(xy)z, but moving the parenthesis some where else will not change it, such as wx(yz).

3 0

3 years ago

Suppose that an individual has a body fat percentage of 16.2% and weighs 164 pounds. How many pounds of his weight is made up of

Lynna [10]

Answer:

26.6 pounds

Step-by-step explanation:

Hope this helps :)

Have a great summer!! :)

5 0

3 years ago

Read 2 more answers

I need help with question

krek1111 [17]

Answer:

Step-by-step explanation:

Scale factor = 8/16 = 1/2

So, 10/x = 1/2

x = 10*2

x = 20

3 0

3 years ago

Read 2 more answers

Kiran bought 6 yards of ribbion for $3.90 . which ratio is proportional to 6 yards at $3.90 ?

Ksenya-84 [330]

The lowest proportion would be 1 yard at .65¢

We can get this by dividing $3.90 by 6, since we divided 6 by 6 to get 1.

7 0

4 years ago

Read 2 more answers

The number of surface flaws in plastic panels used in the interior of automobiles has a Poisson distribution with a mean of 0.08

kvv77 [185]

Answer:

a) 44.93% probability that there are no surface flaws in an auto's interior

b) 0.03% probability that none of the 10 cars has any surface flaws

c) 0.44% probability that at most 1 car has any surface flaws

Step-by-step explanation:

To solve this question, we need to understand the Poisson and the binomial probability distributions.

Poisson distribution:

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 interval.

Binomial distribution:

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

Poisson distribution with a mean of 0.08 flaws per square foot of plastic panel. Assume an automobile interior contains 10 square feet of plastic panel.

So $\mu = 10*0.08 = 0.8$

(a) What is the probability that there are no surface flaws in an auto's interior?

Single car, so Poisson distribution. This is P(X = 0).

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

$P(X = 0) = \frac{e^{-0.8}*(0.8)^{0}}{(0)!} = 0.4493$

44.93% probability that there are no surface flaws in an auto's interior

(b) If 10 cars are sold to a rental company, what is the probability that none of the 10 cars has any surface flaws?

For each car, there is a $p = 0.4493$ probability of having no surface flaws. 10 cars, so n = 10. This is P(X = 10), binomial, since there are multiple cars and each of them has the same probability of not having a surface defect.