Question

Price    Bedrooms        Square Feet      Pool     Distance           Township     &n

Price    Bedrooms        Square Feet      Pool     Distance           Township         Garage Baths

245,400           2          2100    0          12        1          1          2

221,100           3          2300    0          18        1          0          1.5

232,200           3          1900    0          16        1          1          1.5

198,300           4          2100    0          19        1          1          1.5

192,600           6          2200    0          14        1          0          2

147,400           6          1700    0          12        1          0          2

224,000           3          1900    0          6          1          1          2

220,900           2          2300    0          12        1          1          2

199,000           3          2500    0          18        1          0          1.5

139,900           2          2100    1          28        1          0          1.5

224,800           3          2200    1          17        1          1          2.5

216,800           3          2200    1          15        1          1          2

176,000           4          2200    1          15        1          1          2

189,400           4          2200    1          24        1          1          2

125,900           2          2400    1          28        1          0          1.5

192,900           4          1900    0          14        2          1          2.5

166,200           3          2000    0          16        2          1          2

307,800           3          2400    0          21        2          1          3

209,700           5          2200    0          13        2          1          2

207,500           3          2100    0          10        2          0          2

209,700           4          2200    0          19        2          1          2

173,600           4          2100    0          14        2          1          2.5

188,300           6          2100    0          14        2          1          2.5

213,600           2          2200    1          16        2          0          2.5

271,800           2          2100    1          9          2          1          2.5

281,300           3          2100    1          16        2          1          2

247,700           5          2400    1          16        2          1          2

216,000           4          2300    1          19        2          0          2

273,200           5          2200    1          16        2          1          3

251,400           3          1900    1          12        2          1          2

154,300           2          2000    1          13        2          0          2

294,000           2          2100    1          13        2          1          2.5

192,200           2          2400    1          16        2          0          2.5

244,600           2          2300    1          9          2          1          2.5

253,200           3          2300    1          16        2          1          2

172,700           4          2200    0          16        3          0          2

206,000           3          2100    0          9          3          0          1.5

166,500           3          1600    0          19        3          0          2.5

190,900           3          2200    0          18        3          1          2

254,300           4          2500    0          15        3          1          2

176,300           2          2000    0          17        3          0          2

155,400           4          2400    0          16        3          0          2

242,100           3          2300    1          12        3          0          2

327,200           6          2500    1          15        3          1          2

292,400           4          2100    1          14        3          1          2

246,100           4          2100    1          18        3          1          2

194,400           2          2300    1          11        3          0          2

233,000           3          2200    1          14        3          1          1.5

234,000           2          1700    1          19        3          1          2

199,800           3          2100    1          19        3          1          2

236,400           5          2200    1          20        3          1          2

172,400           3          2200    1          23        3          0          2

246,000           6          2300    1          7          3          1          3

312,100           7          2400    1          13        3          1          3

289,800           6          2000    1          21        3          1          3

217,800           3          2500    1          12        3          0          2

294,500           6          2700    1          15        3          1          2

263,200           4          2300    1          14        3          1          2

221,500           4          2300    1          18        3          1          2

175,000           2          2500    1          11        3          0          2

207,500           5          2300    0          21        4          0          2.5

198,900           3          2200    0          10        4          1          2

209,300           6          1900    0          15        4          1          2

182,700           4          2000    0          14        4          0          2.5

205,100           3          2000    0          20        4          0          2

175,600           4          2300    0          24        4          1          2

171,600           3          2000    0          16        4          0          2

269,900           5          2200    0          11        4          1          2.5

186,700           5          2500    0          21        4          0          2.5

179,000           3          2400    0          10        4          1          2

188,300           6          2100    0          15        4          1          2

182,400           4          2100    1          19        4          0          2

266,600           4          2400    1          13        4          1          2

209,000           2          1700    1          8          4          1          1.5

270,800           6          2500    1          7          4          1          2

252,300           4          2600    1          8          4          1          2

345,300           8          2600    1          9          4          1          2

187,000           2          1900    1          26        4          0          2

257,200           2          2100    1          9          4          1          2

294,300           7          2400    1          8          4          1          2

125,000           2          1900    1          18        4          0          1.5

164,100           4          2300    1          19        4          0          2

240,000           4          2600    1          13        4          1          2

188,100           2          1900    1          8          4          1          1.5

243,700           6          2700    1          7          4          1          2

227,100           4          2900    1          8          4          1          2

310,800           8          2900    1          9          4          1          2

179,000           3          2400    1          8          4          1          2

173,600           4          2100    1          9          4          1          2

263,100           4          2300    0          17        5          1          2

173,100           2          2200    0          21        5          1          1.5

236,800           4          2600    0          17        5          1          2

209,300           5          2100    1          20        5          0          1.5

326,300           6          2100    1          11        5          1          3

180,400           2          2000    1          11        5          0          2

207,100           2          2000    1          11        5          1          2

177,100           2          1900    1          10        5          1          2

312,100           6          2600    1          7          5          1          2.5

269,200           5          2200    1          8          5          1          3

228,400           3          2300    1          17        5          1          1.5

222,100           2          2100    1          9          5          1          2

188,300           5          2300    1          20        5          0          1.5

293,700           6          2400    1          11        5          1          3

227,100           4          2900    1          20        5          0          1.5

188,300           5          2300    1          11        5          1          3

2. Sort the real estate data into a table that shows the number of homes that have a garage attached versus those that do not have a garage in each of the five townships. If a home is selected at random, compute the following probabilities.

A.) The home has a garage attached.

B.) Given that it is in Township 5, that it does not have a garage attached.

C.) The home has a garage attached and is in Township 3.

Homework Answers

Answer #1

Hello Sir/ Mam

Required Table :

Garage
Township Number Yes No
1 9 6
2 15 5
3 15 10
4 20 9
5 12 4

Let A be the event that the home has an attached garage.

Let T3 be the event that the home is in Township 3.

Let T5 be the event that the home is in Township 5.

A) YOUR REQUIRED PROBABILITY IS = 67.62%

B) YOUR REQUIRED PROBABILITY IS = 25%

C) YOUR REQUIRED PROBABILITY IS = 14.29%

I hope this solves your doubt.

Do give a thumbs up if you find this helpful.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A university would like to examine the relationship between a faculty​ member's performance rating​ (measured on...
A university would like to examine the relationship between a faculty​ member's performance rating​ (measured on a scale of​ 1-20) and his or her annual salary increase. The table to the right shows these data for eight randomly selected faculty members. Construct 90% confidence interval for the regression slope. LCL= UCL= Rating Increase 16 2300 18 2500 11 1700 12 1600 14 2100 15 2600 16 1900 17 1900
Create a null hypothesis and a directional experimental hypothesis for minutes of exercise. Create a null...
Create a null hypothesis and a directional experimental hypothesis for minutes of exercise. Create a null hypothesis and a non-directional experimental hypothesis for cigarettes smoke daily, alcohol beverages and daily calories. Should we conduct a one or two tailed? Participants Minutes of exercise Daily calories Cigarettes smoked daily Alcohol beverages 1 30 2000 0 2 2 0 3000 5 4 3 120 1500 0 0 4 150 1800 10 14 5 0 3200 0 5 6 150 1600 20 35...
Create the Descriptive Statistics for "Price" and "SQFT" - Include a 95% Confidence Test on the...
Create the Descriptive Statistics for "Price" and "SQFT" - Include a 95% Confidence Test on the Population Mean Produce a Scatterplot for Price (Dependent) and SQFT (Independent) (PLACE BELOW) Conduct a 95% Hypothesis Test (i.e., ? = .05) to determine if the Mean Price of Houses is greater than $242,512. Use a Population Standard Deviation of $172,000 for your Z-test (i.e., we are determing if the mean has increased from the previous year). Answers From the Scatterplot (placed below), is...
I need a breakdown to perform in excel for numbers 7,8,9. I am unsure of how...
I need a breakdown to perform in excel for numbers 7,8,9. I am unsure of how I calculate the times. heres the data set and the questions. Calculate the probability that a flight will depart early or on time. Calculate the probability that a flight will arrive late. Calculate the probability that a flight departs late or arrives early. DEP_Delay ARR_Delay -4 0 -3 -3 0 -5 -7 -1 8 3 -1 -5 3 8 11 6 -6 0 -5...
Suppose that Ali has consumed two goods X and Y. Details of MUx and MUy are...
Suppose that Ali has consumed two goods X and Y. Details of MUx and MUy are given in the following table. Ali’s income is Rs.1000 and the price of Px is Rs.200 and the price of Py is Rs.100. Units 1 2 3 4 5 6 7 8 9 10 MUx 3000 2900 2600 2300 1900 1600 1200 800 600 200 MUy 2400 2200 2000 1600 1250 1100 800 400 0 -50 i) Explain how Ali should spend his income...
Avg Outside Temp Attic Insulation (inches) Age of Furnace (years) Square Footage Avg Heating Cost 29...
Avg Outside Temp Attic Insulation (inches) Age of Furnace (years) Square Footage Avg Heating Cost 29 5 4 1900 198 8 6 7 2800 355 6 10 9 2500 291 22 8 11 2000 230 55 2 4 1300 121 36 2 5 2100 250 28 4 9 2400 360 36 7 2 2300 164 59 5 9 1300 42 64 5 6 1500 90 19 4 8 2300 271 57 5 3 1400 96 39 7 11 1900 187...
Dep Delay Arr Delay q1 -13 -9 q3 1 3 IQR 14 12 stdev 9.211846 9.660933...
Dep Delay Arr Delay q1 -13 -9 q3 1 3 IQR 14 12 stdev 9.211846 9.660933 negative 291 zero 39 positive 170 total (should be 500) 500 all data is for arrival data. please help me explain these can someone help me answer these questions and tell me how to put them in excel.thanx in advance 1.    Define a random variable (X) so that your chosen data set represents values of X. 2.    Is your chosen random variable discrete or...
Estimate: Price = β0 + β1Sqft + β2Beds + β2Baths + ε, where Price, Sqft, Beds,...
Estimate: Price = β0 + β1Sqft + β2Beds + β2Baths + ε, where Price, Sqft, Beds, and Baths refer to home price, square footage, number of bedrooms, and number of bathrooms, respectively. Price Sqft Beds Baths Col 840000 2768 4 3.5 1 822000 2500 4 2.5 1 713000 2400 3 3 1 689000 2200 3 2.5 1 685000 2716 3 3.5 1 645000 2524 3 2 1 625000 2732 4 2.5 0 620000 2436 4 3.5 1 587500 2100 3...
Cork price: 16 10 15 10 17 11 14 13 11 14 11 16 18 16...
Cork price: 16 10 15 10 17 11 14 13 11 14 11 16 18 16 10 17 14 14 16 7 10 12 19 15 16 14 9 12 21 13 10 16 12 16 13 17 17 13 14 18 11 12 15 16 13 18 16 17 12 12 14 9 11 14 19 13 11 17 11 13 15 14 18 18 18 12 10 11 13 14 11 14 18 13 13 19 17 14...
Find variance of the following stocks A,B and C: Stock A B C 1 3 19...
Find variance of the following stocks A,B and C: Stock A B C 1 3 19 -2 2 5 17 4 3 7 15 0 4 9 13 8 5 11 11 12 6 13 9 14 8 15 7 -8 9 17 5 16 10 19 3 20