Answer/Step-by-step explanation:
Recall: ![x^{-a} = \frac{1}{x^a}](https://tex.z-dn.net/?f=%20x%5E%7B-a%7D%20%3D%20%5Cfrac%7B1%7D%7Bx%5Ea%7D%20)
a. ![4^{-3} = \frac{1}{4^3} = \frac{1}{64}](https://tex.z-dn.net/?f=%204%5E%7B-3%7D%20%3D%20%5Cfrac%7B1%7D%7B4%5E3%7D%20%3D%20%5Cfrac%7B1%7D%7B64%7D%20)
b. ![13^{-2} = \frac{1}{13^2} = \frac{1}{169}](https://tex.z-dn.net/?f=%2013%5E%7B-2%7D%20%3D%20%5Cfrac%7B1%7D%7B13%5E2%7D%20%3D%20%5Cfrac%7B1%7D%7B169%7D%20)
c. ![(-3)^{-2} = \frac{1}{-3^2} = \frac{1}{9}](https://tex.z-dn.net/?f=%20%28-3%29%5E%7B-2%7D%20%3D%20%5Cfrac%7B1%7D%7B-3%5E2%7D%20%3D%20%5Cfrac%7B1%7D%7B9%7D%20)
Answer:
The price of the homes in the Pittsburgh sample typically vary by about $267,210 from the mean home price of $500,000.
Step-by-step explanation:
The dotplots reveal that the variability of home prices in the Pittsburgh sample is greater than the variability of home prices in the Philadelphia sample. Therefore, the standard deviation of the home prices for the Pittsburgh sample is $267,210 rather than $100,740. The correct interpretation of this statistic is that the price of homes in Pittsburgh typically vary by about $267,210 from the mean home price of $500,000.
Answer:
1200
Step-by-step explanation:
it's just 400x3 which is 1200
Answer:
c!
Step-by-step explanation:
good luck! :)