Given:
Radius of the cylinder = 2 cm
Height of the cylinder = 3 cm
To find:
The surface area of the cylinder.
Solution:
The surface area of a cylinder is:

Where, r is the radius and h is the height of the cylinder.
Putting
, we get



Therefore, the surface area of the cylinder is 62.8 square cm.
I believe the first graph in the shape of the \_/ is the correct graph because when he gets off the freeway his speed slows then he stops and is no longer moving for a period of time. Then he gets back on and his speed is going up.
Answer: hope this helps!
Step-by-step explanation:
Answer:
You will know when two lines exactly verticle and horizontle meet together that one intersection will be a right angle it will be exactly 90 degrees.
Using the Central Limit Theorem, nothing can be stated about the shape of the sampling distribution for the sample mean, as the sample size is less than 30.
<h3>What does the Central Limit Theorem state?</h3>
It states that, for a normally distributed random variable X, with mean
and standard deviation
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean
and standard deviation
.
For a skewed variable, the sampling distribution is also approximately normal, as long as n is at least 30.
In this problem, we have a skewed variable and n < 30, hence nothing can be stated about the shape of the sampling distribution for the sample mean.
More can be learned about the Central Limit Theorem at brainly.com/question/16695444
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