2/3 would be heads because it’s out of 3 coins
Answer:
no solution
Step-by-step explanation:
The sample mean is an estimate of the population mean.
The sample mean is exactly equal to the population mean
<h3>How to determine the true statement</h3>
When the population mean is known; the value of the population mean can be used as the sample mean.
This is so because:
The sample mean is an estimate of the population mean.
And it is represented as:
![\bar x = \mu](https://tex.z-dn.net/?f=%5Cbar%20x%20%3D%20%5Cmu)
Hence, the true statement is that the sample mean is exactly equal to the population mean
Read more about sample mean at:
brainly.com/question/12892403
Answer:
Step-by-step explanation:
For each component, there are only two possible outcomes. Either it fails, or it does not. The components are independent. We want to know how many outcomes until r failures. The expected value is given by
![E = \frac{r}{p}](https://tex.z-dn.net/?f=E%20%3D%20%5Cfrac%7Br%7D%7Bp%7D)
In which r is the number of failures we want and p is the probability of a failure.
In this problem, we have that:
r = 1 because we want the first failed unit.
![p = 0.4[\tex]So[tex]E = \frac{r}{p} = \frac{1}{0.4} = 2.5](https://tex.z-dn.net/?f=p%20%3D%200.4%5B%5Ctex%5D%3C%2Fp%3E%3Cp%3ESo%3C%2Fp%3E%3Cp%3E%5Btex%5DE%20%3D%20%5Cfrac%7Br%7D%7Bp%7D%20%3D%20%5Cfrac%7B1%7D%7B0.4%7D%20%3D%202.5)
The expected number of systems inspected until the first failed unit is 2.5
Answer:
.95
Step-by-step explanation: