PLEASE FILL IN THE BOXES.

Now let's put everything together to make some inferences on our house. Below you will see a normal curve and some empty boxes Remember that the funky looking character stands for Standard Deviation. Fill in the empty boxes, using your PPSF data you constructed above. Remember your mean goes in the middle box and you'll use your standard deviation from Part 2 to fill out the rest. If your word processor does not allow you to fill in the boxes please print out and 5l in by hand W-30 -20 -0 30 So, if my sample is pretty accurate to the entire population of houses in my neighborhood, I should expect the price per square foot of my home to be between S__ and __ per square foot. Now let's assume that this normal distribution accurately reflects the prices of houses in your neighborhood. We want to find how many standard deviations away from the mean our dream house selling price lies (this is known as a score) and is calculated by We will then use this formula to approximate how this house compares with other properties in the area. Your 2-score will most likely fall between-3 and 3. unless your house is much cheaper/more expensive than other houses So now, find the 2-score for the dream property you identified in Milestone 1: Using a 2-score tabis, your house is more expensive than of properties in your neighborhood, by estimation of your sample. Homes Sale Prices Features Square Foot Price Per Sofort PPS 190,000 bd 2 bathe 100 fret Comp1 $ 109,00 262 STEN Comp 2 5110,000 2 bd 1 bath, condo Comp 3 5 139.000 2 bdi, both code 160 5119 Comp 4 $ 151,000 bd 2 bath, 2 x 1.200 SU get condo Comp 550.000 bd 2 bath 1.500 1 wdry room Comp. 515.000 2 bedronde 1.200 $13.50 Comp 7 5 174,900 2. hadd300 18 balcon conde Comp 515.000 2 bath undry 1,000 15.00 Borbon Comp 5209,000 bd 2 bath, house 1.600 refeet. 515563 Comp 105 209.000 3 bd 2 bathe porch 1.800 are feet