M = 6<br> ---<br> 3<br><br> What does m =

Fezzik, the giant is berated by Vizzini, who says he is nothing more than a “landmass.” What evidence shows you that Vizzini is

brilliants [131]

Answer:

What evidence shows you that Vizzini is wrong, that Fezzik has ... Fezzik, the giant is berated by Vizzini, who says he is nothing more than a “landmass. ... wrong, that Fezzik has value that extends beyond his large physique?

Step-by-step explanation:

5 0

2 years ago

a(t)=(t−k)(t−3)(t−6)(t+3) is a polynomial function of tt, where kk is a constant. Given that a(2)=0a(2)=0, what is the absolute

Crank

Since $a(2)=0$ , we know that $t-2$ must be a factor of $a(t)$ , so $k=2$ . Then the zeros of $a(t)$ are $t=2,3,6,-3$ , and their product is -108, whose absolute value is 108.

3 0

3 years ago

a recipe calls for 3 cups of flour and 2 cups of sugar if you only have 2.5 cups of sugar to keep it proportional how much sugar

belka [17]

Answer:

You would need to use 2.4 cups of sugar if you have 2.5 cups of flour.

Step-by-step explanation:

Divide: 3 divided by 2.5=1.2

Multiply: 1.2 times 2=2.4

Answer: 2.4 cups of sugar

Hope this helped!! :)

Brainliest?!?!

Stay safe and have a wonderful day/night/afternoon!!!

8 0

3 years ago

In a randomly selected sample of 100 students at a University, 81 of them had access to a computer at home. Give the value of th

astra-53 [7]

Answer:

The value of the standard error for the point estimate is of 0.0392.

Step-by-step explanation:

Central Limit Theorem

The Central Limit Theorem establishes 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 $s = \frac{\sigma}{\sqrt{n}}$ .

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean $\mu = p$ and standard deviation $s = \sqrt{\frac{p(1-p)}{n}}$