Answer:
6
Step-by-step explanation:
6 ^ (1/4) ^ 4
We know a^ b^ c = a^(b*c)
6 ^ (1/4*4)
6^1
6
Answer:
The answer is C (2, -9)
Step-by-step explanation:
Answer:
64 ![cm^{2}](https://tex.z-dn.net/?f=cm%5E%7B2%7D)
Step-by-step explanation:
Perimeter of a square: 4s = 32
s = 8
Area of a square: s * s = 64
Answer:
48
Step-by-step explanation:
60 students X 80%=48
20% is 12 students
40% is 24 students
60% is 36 students
so on and so forth.
Answer:
For this sample, the estimated standard error is of 0.0277
Step-by-step explanation:
Central Limit Theorem
The Central Limit Theorem estabilishes 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 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
and standard deviation ![s = \sqrt{\frac{p(1-p)}{n}}](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%7D)
Examining the records of 250 convicts, the official determines that there are 65 cases of recidivism.
This means that ![n = 250, p = \frac{65}{250} = 0.26](https://tex.z-dn.net/?f=n%20%3D%20250%2C%20p%20%3D%20%5Cfrac%7B65%7D%7B250%7D%20%3D%200.26)
For this sample, the estimated standard error is
![s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.26*0.74}{250}} = 0.0277](https://tex.z-dn.net/?f=s%20%3D%20%5Csqrt%7B%5Cfrac%7Bp%281-p%29%7D%7Bn%7D%7D%20%3D%20%5Csqrt%7B%5Cfrac%7B0.26%2A0.74%7D%7B250%7D%7D%20%3D%200.0277)
For this sample, the estimated standard error is of 0.0277