Answer:
Step-by-step explanation:
Given dimensions:
- Radius of the cylinder = 7 metres
- Height of the cylinder = 3 metres
Given value of π :
To find:
- The Volume of the cylinder
Solution:
Here, we'll need to use the formulae of the volume of cylinder,to find it's volume.Its actually like a savior while solving these type of questions.
where,
- π = 3.14
- r² = (radius)²
- h = height
Plug/substitute them onto the formulae,then simplify it using PEMDAS.
- [We'll substitute the value of π later]
- Now substitute the value of π.
<u>Hence, we can conclude that:</u>
The volume of the cylinder is approximately
461.6 m³.
(17x+19)+(19x-15)=180
36x+4=180
36x=176
x=44/9 which is approximately 4.8
mmTherefore mmmIn conclusion m
Answer:
18 inches of water
Step-by-step explanation:
2 inches times 9 weeks is 18
The two numbers are 41 & 37.
The way to solve this is by setting up an equation. We know that 2 numbers are going to equal 78, so here would be the general equation (let x represent the number we don't know):
(x) + (x + 4) = 78
Now, we need to simplify it (combine like terms):
2x + 4 = 78
Then you can solve it like any other equation. Subtract 4 on both sides:
2x = 74
Divide by 2 on both sides:
x = 37.
So, now you know one number is equal to 37 and that the other is 37 + 4.
That's how you get 37 & 41.
Answer:
Correct option:
"The distribution of the statistic in all possible samples of size <em>n</em> from a given population."
Step-by-step explanation:
The sampling distribution is a probability distribution of a sample statistic.
A sample statistic is a numerical value representing a characteristic of a sample. For example, the sample mean represents the mean value of the sample, the sample variance represent the variance of the sample. Both of these values are sample statistic.
A statistic is an unbiased estimator of the parameter value.
That is, the sample mean value can be used to estimate the value of population mean.
If various large samples are taken from a population and the sample statistic value is computed for each of these samples, then the probability distribution of theses sample statistic is known as the sampling distribution.
The mean of the sampling distribution is same as the population mean and the standard deviation of the sampling distribution is known as the standard error.
The correct option is:
"The distribution of the statistic in all possible samples of size <em>n</em> from a given population."