All categories

3 years ago

PLEASE HELP ASAP!!! CORRECT ANSWER ONLY PLEASE!!!

Mathematics

2 answers:

jeyben [28]3 years ago

4 0

Answer:

Step-by-step explanation:

Is it not just 0.6

And P(X=1) means probability that x is equal to one

joja [24]3 years ago

4 0

Answer: 0.24

<u>Step-by-step explanation:</u>

P(X = 1) means only one of the lights is green.

P (green) = 0.6

P (not green) = 0.4

P (green) and P (not green)

0.6 × 0.4 = 0.24

You might be interested in

A swimming pool is draining at a constant rate. The table shows the proportional relationship between the change in the water le

kaheart [24]

Answer:

first answer:-1.75

second:-15.75

third:-40.25

Step-by-step explanation:i am too lazy srry

6 0

3 years ago

What is the value of f(16) - f(0) when f(x) = 4x - 8?

levacccp [35]

That would be 4(16) - 8 - (4(0) - 8) = 64 - 9 - 0 + 8 = 63 Answer

5 0

3 years ago

Read 2 more answers

Lewis is rolling a 10-sided die 250 times. Each side of the die is labeled with a number 1 – 10. Based on the theoretical probab

oksano4ka [1.4K]

75 time because the proabablity of rolling any number each time is 1/10 so 250/10=25 the mutiples of 3 in 1-10 are 3,6,9 so 3*25 =75 tmes

5 0

2 years ago

Read 2 more answers

Find the quotient. ( − 2 ) ÷ 9 − 2 9 18 -18

Airida [17]

Answer:

I don´t know and i don´t want you to get it wrong so i think it is..

Step-by-step explanation:

-18 is probably the answer

Hope this helps!! lol

6 0

2 years ago

Monitors manufactured by TSI Electronics have life spans that have a normal distribution with a variance of 4,000,000 and a mean

In-s [12.5K]

Using the normal distribution, it is found that there is a 0.2776 = 27.76% probability that the life span of the monitor will be more than 20,179 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean $\mu$ and standard deviation $\sigma$ is given by:

$Z = \frac{X - \mu}{\sigma}$

The z-score measures how many standard deviations the measure is above or below the mean.

Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

$\mu = 19000, \sigma = \sqrt{4000000} = 2000$

The probability that the life span of the monitor will be more than 20,179 hours is <u>one subtracted by the p-value of Z when X = 20179</u>, hence:

$Z = \frac{X - \mu}{\sigma}$

$Z = \frac{20179 - 19000}{2000}$

Z = 0.59.

Z = 0.59 has a p-value of 0.7224.

1 - 0.7224 = 0.2776.

0.2776 = 27.76% probability that the life span of the monitor will be more than 20,179 hours.

More can be learned about the normal distribution at brainly.com/question/24663213

#SPJ1

6 0

1 year ago