STEP 1: Compute the mean
The mean of the dataset is the sum of the elements divided by their number:
STEP 2: Compute the residuals
You have to compute the difference between every element and the mean:
Step 3: Square the residuals:
Step 4: Sum the squared the residuals:
Step 5: Divide by the number of elements in the dataset:
Step 6: Consider the square root of the result:
The formula we used is
where is the standard deviation, are the elements in the dataset, is the number of elements in the dataset, and is the mean of the dataset.
In 2000 the median home price in a certain city was about $290,000, and from 2000 to 2006, home prices in the city rose in an average of about 11.3% per year. If prices continue to rise at that rate what would be the median home price would have been in 2018? Compare to the actual median price of about $400,000 in 2018. (median home price would be approximately ____ minion in 2018. Therefore 9:12
Answer:
r < -6
Step-by-step explanation:
Step-by-step explanation:
y<em>=</em><em>(</em><em>x</em><em>+</em><em>2</em><em>)</em><em>2</em><em> </em><em>bec</em><em>ause</em><em> </em><em>when</em><em> </em><em>x</em><em>=</em><em> </em><em>-</em><em>2</em><em> </em><em>the</em><em> </em><em>result</em><em> </em><em>is</em><em> </em><em>0</em>
Answer:
Therefore the general solution is
Step-by-step explanation:
Integration Rule:
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Given differential equation is
[ multiplying dx both sides]
[ dividing both sides]
Integrating both sides
[ c is arbitrary constant]
Therefore the general solution is