What is twenty divided by two plus ten

the height of a hat is shaped like a cone is 10 inches. the volume of thw hat is 30(pi) cubic inches. what is the diameter of th

mote1985 [20]

Answer:

3.38pi

Step-by-step explanation:

Using simple math and the equation for finding the volume of a sphere, we can see that by taking the height of 10, and the volume of 30, that with that information we can deduce that the radius of the cone would be 1.69pi. With this information, we know the radius is half of the diameter. Therefore, we multiply 1.69 by 2, to get our end result, 3.36pi

4 0

3 years ago

In a swimming competition, Susie swims 22 laps less than Jackie (j). Write an expression for the number of laps

saw5 [17]

Answer:

22>j

Step-by-step explanation:

6 0

3 years ago

Trig with picture included

Arada [10]

Answer:

1st Option

Step-by-step explanation:

When we draw out our triangle, we see that the height leg is 17 m and the horizontal leg is 100 m with our unknown angle of elevation x:

tanx° = 17/100

$x = tan^{-1}(\frac{17}{100})$

4 0

3 years ago

Fareed want to add 1/4+5/8

BigorU [14]

Answer:

$\frac{7}{8}$

Step-by-step explanation:

1st you want to find a common denominator. which is 8.

2nd change $\frac{1}{4}$ to $\frac{2}{8}$

3rd you add $\frac{2}{8}$ and $\frac{5}{8}$ together an you get $\frac{7}{8}$

8 0

3 years ago

Find the indicated probability or percentage for the sampling error. The distribution of weekly salaries at a large company is r

Flauer [41]

Answer:

The probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

Step-by-step explanation:

According to the Central Limit Theorem if we have a non-normal population with mean μ and standard deviation σ and appropriately huge random samples (n > 30) are selected from the population with replacement, then the distribution of the sample means will be approximately normally distributed.

Then, the mean of the distribution of sample means is given by,

$\mu_{\bar x}=\mu$

And the standard deviation of the distribution of sample means is given by,

$\sigma_{\bar x}=\frac{\sigma}{\sqrt{n}}$

The information provided is:

$\mu=\$1000\\\sigma=\$370\\n=80$

As n = 80 > 30, the central limit theorem can be used to approximate the sampling distribution of sample mean weekly salaries.

Let $\bar X$ represent the sample mean weekly salaries.

The distribution of $\bar X$ is: $\bar X\sim N(\$1000,\ \$41.37)$

Now we need to compute the probability of the sampling error made in estimating the mean weekly salary to be at most $75.

The sampling error is the the difference between the estimated value of the parameter and the actual value of the parameter, i.e. in this case the sampling error is, $|\bar X-\mu|= 75$ .

Compute the probability as follows:

$P(-75$

$=P(-1.81$

Thus, the probability that the sampling error made in estimating the mean weekly salary for all employees of the company by the mean of a random sample of weekly salaries of 80 employees will be at most $75 is 0.9297.

3 0

3 years ago