With the round toward even rule, 0.5 rounds to zero.<span>
</span>
The answer if D
100 divided by 30 times 18 equals 60
A,D,E,F
hope this helps hon
Number of days from 20th to 30th October is 21 days. Assume "City Streets" consists of 665 pages.
The expression/equation is: 35+(21*p)=665
by solving the equation we will find Gordon has to read p = 30 pages/ day to finish the story.
Answer:
![\bar X= \frac{1.83+1.85+1.79+1.73+1.69+1.74+1.76+1.70}{8}= 1.76125](https://tex.z-dn.net/?f=%5Cbar%20X%3D%20%5Cfrac%7B1.83%2B1.85%2B1.79%2B1.73%2B1.69%2B1.74%2B1.76%2B1.70%7D%7B8%7D%3D%201.76125)
Now we can estimate the population variance with the sample variance given by:
![s^2 = \frac{\sum_{i=1}^n (x_i -\bar X)^2}{n-1}](https://tex.z-dn.net/?f=s%5E2%20%3D%20%5Cfrac%7B%5Csum_%7Bi%3D1%7D%5En%20%28x_i%20-%5Cbar%20X%29%5E2%7D%7Bn-1%7D)
And replacing we got:
![s^2 = 0.0033839](https://tex.z-dn.net/?f=%20s%5E2%20%3D%200.0033839)
And the estimator for the population deviation
is given by :
![\hat \sigma = \sqrt{s^2}= \sqrt{0.0033839}= 0.058172](https://tex.z-dn.net/?f=%5Chat%20%5Csigma%20%3D%20%5Csqrt%7Bs%5E2%7D%3D%20%5Csqrt%7B0.0033839%7D%3D%200.058172)
Step-by-step explanation:
For this case we have the following data given:
1.83,1.85,1.79,1.73,1.69,1.74,1.76,1.70
First we need to calculate the mean with the following formula:
![\bar X= \frac{\sum_{i=1}^n X_i}{n}](https://tex.z-dn.net/?f=%5Cbar%20X%3D%20%5Cfrac%7B%5Csum_%7Bi%3D1%7D%5En%20X_i%7D%7Bn%7D)
And replacing we got:
![\bar X= \frac{1.83+1.85+1.79+1.73+1.69+1.74+1.76+1.70}{8}= 1.76125](https://tex.z-dn.net/?f=%5Cbar%20X%3D%20%5Cfrac%7B1.83%2B1.85%2B1.79%2B1.73%2B1.69%2B1.74%2B1.76%2B1.70%7D%7B8%7D%3D%201.76125)
Now we can estimate the population variance with the sample variance given by:
![s^2 = \frac{\sum_{i=1}^n (x_i -\bar X)^2}{n-1}](https://tex.z-dn.net/?f=s%5E2%20%3D%20%5Cfrac%7B%5Csum_%7Bi%3D1%7D%5En%20%28x_i%20-%5Cbar%20X%29%5E2%7D%7Bn-1%7D)
And replacing we got:
![s^2 = 0.0033839](https://tex.z-dn.net/?f=%20s%5E2%20%3D%200.0033839)
And the estimator for the population deviation
is given by :
![\hat \sigma = \sqrt{s^2}= \sqrt{0.0033839}= 0.058172](https://tex.z-dn.net/?f=%5Chat%20%5Csigma%20%3D%20%5Csqrt%7Bs%5E2%7D%3D%20%5Csqrt%7B0.0033839%7D%3D%200.058172)