Cat este 5 la puterea 5?

Gus plans to install a hand rail around a skating rink. The rink forms a 40m by,20 m rectangle.

KonstantinChe [14]

120 m of rail. Just mutiply 20 by 2 and 40 by 2. You will get 40 and 80. Now add them to get 120.

6 0

3 years ago

The circular clock face in the clock tower on campus has a radius of about 4 meters. What is the area of the clock to the neares

mel-nik [20]

Answer:

50 meters

Step-by-step explanation:

The area of a circle is $\pi r^2$ , so assuming that $\pi$ is 3.14, we can make the equation $3.14 \cdot r^2$ .

Assuming the radius is r, which is 4, we can substitute the values into the equation.

$3.14 \cdot 4^2\\3.14\cdot16\\50.24$

This question is asking for the area to the nearest square meter so rounding 50.24 to the nearest square meter results in 50.

Hope this helped!

3 0

3 years ago

Y=1/3x-4 what would m be

kvv77 [185]

Answer:

Step-by-step explanation:

chile idk i need points

6 0

3 years ago

Let X be the number of accidents per week at the Hillsborough Street roundabout by the NCSU Bell Tower. Assume X varies with mea

Eduardwww [97]

Answer:

1) 0.1587 = 15.15% probability that x is less than 2

2) 7.64% probability that there are fewer than 100 accidents at the roundabout in a year

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the Central limit theorem.

Normal probability distribution

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .