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4 years ago

Multiply mentally. 4.2 × 200 HELP

Mathematics

2 answers:

vodka [1.7K]4 years ago

6 0

What u basically do is 4 x 200 = 800 then u do 2 x 2 = 840

Pani-rosa [81]4 years ago

4 0

4.2 times 200 equals 840. Hope this helps

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in a fundraising committee of 90 people the ratio of men to women is 7:2. find the number of women required to join the existing

LuckyWell [14K]

Hello,

Step-by-step explanation:

90 = 9 x 10 = (7 + 2) x 10 = 70 + 20

70 men and 20 women

$\frac{70}{5} = \frac{20 + X}{4}$

56 = 20 + X ⇔ X = 36

Answer : + 36 women

7 0

3 years ago

HELP PLEASE ill give tons of poitns and brainlist

andre [41]

Answer:

x = 3.4

Step-by-step explanation:

Given the graphs of 2 functions, then the solutions to both are at their points of intersection, that is

where f(x) = g(x)

There are 3 possible points of intersection to f(x) = g(x)

The one on the list , however, is at x = 3.4

7 0

3 years ago

Read 2 more answers

Please help me I give a lot thanks

inna [77]

Answer:

1. 600 x 20 x 20=240000

2. Jason should say "Find the product of 4 x 5 and then add all of the remaining zeroes in the problem to your answer. This results in 400,000 x 50,000= 20,000,000,000."

Step-by-step explanation:

5 0

3 years ago

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.