Question

In: Statistics and Probability

Open House_Price data. Test if there is a significant difference in house prices for houses that...

Open House_Price data.

Test if there is a significant difference in house prices for houses that are less than 31 years old compared to houses that are 31 years or older. Answer the questions for Assessment. (Pick the closest answer)

1. What is the P-value?

  • a. 0.106390147
  • b. ​​1.85525E-07
  • c. ​​0.002738669
  • d. ​​0.000144083

2. What is the Statistical interpretation?

  • a. The P-value is too small to have a conclusive answer.
  • b. The P-value is much smaller than 5% thus we are very certain that house prices are different.
  • c. ​​The P-value is larger than 5% thus the answer is inconclusive.
  • d. The P-value is larger than 5% thus we are certain that house prices are not different.

3. What is the conclusion?

  • a. Statistical interpretation agrees with the intuition: the house price is different due to the age of the house.
  • b. ​​The statistics does not conform to the intuition since one would expect the house price to be different due to the age of the house.
  • c. Since the test is inconclusive the conclusion is inconclusive as well.
  • d. The test does not make statistical sense.
DATA: 
Age     #Bathrooms      #Rooms  #BedRooms       #FirePlaces     sellingPrice in $100000
42      1       7       4       0       4.9176
62      1       7       4       0       5.0208
40      1       6       3       0       4.5429
54      1       6       3       0       4.5573
42      1       6       3       0       5.0597
56      1       6       3       0       3.891
51      1       7       3       1       5.898
32      1       6       3       0       5.6039
32      1       6       3       0       5.8282
30      1       6       3       0       5.3003
30      1       5       2       0       6.2712
32      1       6       3       0       5.9592
32      1       6       3       0       5.6039
50      1.5     8       4       0       8.2464
17      1.5     6       3       0       7.7841
23      1       7       3       0       9.0384
22      1.5     6       3       0       7.5422
44      1.5     6       3       0       6.0931
3       1       7       3       0       8.14
31      1.5     8       4       0       9.1416
42      2.5     10      5       1       16.4202
14      2.5     9       5       1       14.4598
46      1       5       2       1       5.05
22      1.5     7       3       1       6.6969
40      1       6       3       1       5.9894
50      1.5     8       4       1       8.7951
48      1.5     8       4       1       8.3607
30      1.5     6       3       1       12

Solutions

Expert Solution

Age sellingPrice
3 8.14
14 14.4598
17 7.7841
22 7.5422
22 6.6969
23 9.0384
30 5.3003
30 6.2712
30 12
31 9.1416
32 5.6039
32 5.8282
32 5.9592
32 5.6039
40 4.5429
40 5.9894
42 4.9176
42 5.0597
42 16.4202
44 6.0931
46 5.05
48 8.3607
50 8.2464
50 8.7951
51 5.898
54 4.5573
56 3.891
62 5.0208

Two-Sample T-Test and CI: sellingPrice less than 31 ... r 31 years old

Method

μ₁: mean of sellingPrice less than 31 years
µ₂: mean of sellingPrice for 31 years and older
Difference: μ₁ - µ₂

Equal variances are not assumed for this analysis.

Descriptive Statistics

Sample N Mean StDev SE Mean
sellingPrice less than 31 years 9 8.58 2.92 0.97
sellingPrice for 31 years and older 19 6.58 2.82 0.65

Estimation for Difference

Difference 95% CI for
Difference
2.00 (-0.49, 4.49)

Test

Null hypothesis H₀: μ₁ - µ₂ = 0
Alternative hypothesis H₁: μ₁ - µ₂ ≠ 0
T-Value DF P-Value
1.72 15 0.1068418

1)

the P-value is 0.106390147

2) The P-value is larger than 5% thus we are certain that house prices are not different.

3) ​​The statistics does not conform to the intuition since one would expect the house price to be different due to the age of the house.


Related Solutions

Test if there is a significant difference in house prices for houses with 4 or more...
Test if there is a significant difference in house prices for houses with 4 or more bedrooms, if compared to houses with 3 or less bedrooms. Answer the questions for Assessment. (Pick the closest answer) 1. What is the P-value? a. 0.074081031 b. ​​1.85525E-07 c. 0.002738669 d. 0.000144083 2. What is the Statistical interpretation? a. The P-value is too small to have a conclusive answer. b. The P-value is much smaller than 5% thus we are very certain that house...
Open Hurricanes data. Test if there is a significant difference in the death by Hurricanes and...
Open Hurricanes data. Test if there is a significant difference in the death by Hurricanes and Min Pressure measured. Answer the questions for Assessment. (Pick the closest answer) 7. What is the P-value? a. #DIV/0! b. 0.384808843 c. 0.634755682 d. None of these 8. What is the Statistical interpretation? a. The P-value is too large to have a conclusive answer. b. The P-value is too small to have a conclusive answer. c. ​​The P-value is much smaller than 5% thus...
Open Hurricanes data. Test if there is a significant difference in death by Hurricanes with category...
Open Hurricanes data. Test if there is a significant difference in death by Hurricanes with category 1 and category 4. Answer the questions for Assessment. (Pick the closest answer) 7. What is the P-value? a. #DIV/0! b. 0.128060089 c. 0.342038086 d. None of these 8. What is the Statistical interpretation? a. The P-value is too small to have a conclusive answer. b. The P-value is too large to have a conclusive answer. c. The P-value is smaller then 5%, thus...
Open SAT data. Test if there is a significant difference in SAT and Letter scores. Answer...
Open SAT data. Test if there is a significant difference in SAT and Letter scores. Answer the questions for Assessment. (Pick the closest answer) 4. What is the P-value? a. 4.98093E-69 b. 0.256823064 c. 6.18089E-06 d. None of these 5. What is the Statistical interpretation? a. The P-value is much smaller than 5% thus we are very certain that average Letter scores are different from average SAT scores. b. The P-value is too large to have a conclusive answer. c....
This data gives the square footage and sales prices for several houses and sales prices for...
This data gives the square footage and sales prices for several houses and sales prices for several houses in Dallas, Texas. Square Footage Value 2000 238139.4 2200 259712 2400 300953.7 3000 369965.7 3200 340091.3 3600 405425 2900 345131 You plan to build a 500-sqaure-foot addition to your house. How much do you think your home value will increase as a result? What percentage of the variation in home value is explained by the variation in the house size? Please set...
How does the Fisher’s least significant difference test differ from Tukey’s honestly significant difference test? Provide...
How does the Fisher’s least significant difference test differ from Tukey’s honestly significant difference test? Provide examples of when you would use each, and explain the differences between these two post-hoc test.
A study was conducted to examine the difference in house prices in A, B, C and...
A study was conducted to examine the difference in house prices in A, B, C and D. Selling pricing were sampled from four houses in each city. The prices for Cities are given (in thousands of CAD) in the Excel spreadsheet. Based on these data, perform a Kruskal-Wallis test to decide if there is a difference in house prices between these cities. Be sure that you carefully define null and alternative hypotheses. Make your conclusions at the 0.10 significance level....
1. Use the data of houses in Lancaster to answer the questions below: House price in...
1. Use the data of houses in Lancaster to answer the questions below: House price in $1000s Square Feet (X) 245 1400 312 1600 279 1700 308 1875 199 1100 219 1550 405 2350 324 2450 319 1425 255 1700 b)Find the correlation coefficient? What does the value indicate? c) Find the coefficient of determination. What does this value indicate? d)What is the linear regression model? e)Predict the price of a hose with 2000 square feet f)Predict the price of...
1. A manager wants to test if there is a significant difference in the variance of...
1. A manager wants to test if there is a significant difference in the variance of the output from two similar machines. It has been determined that the output of the two machines is normally distributed. To carry out the hypothesis test about the population variances, the manager takes random samples from the output of each machine. The results are: Machine 1 Machine 2 1x=128.9 2x=159.5 s1= 6.8 s2= 7.2 n1=13 n2=15 a.)What is the observed value of the appropriate...
A leading company in Delhi is planning to rent houses and open spaces. The houses are...
A leading company in Delhi is planning to rent houses and open spaces. The houses are in three categories namely, having three bedrooms, two bedrooms and single bedroom homes. A market survey conducted by a team indicates that a maximum of 650 three bedroom homes, 500 two bedroom homes and 300 single bedroom homes can be rented. Also, the number of three bedroom homes should be at least 60% of the number of two bedroom and single bedroom homes. Open...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT