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New england house listing price data by regionsourcehttpswww.re
- 1. New EnglandHouse Listing Price Data by RegionSource:https://www.realtor.com/research/data/Regional sample (n = 1000)StateCountyRegionHouse listing priceCost per square footSquare footageCTlitchfieldNew England$329,050$1531,888MEpenobscotNew England$169,500$1031,586NHmerrimackNew England$299,950$1452,152VTwashingtonNew England$289,950$1411,959MEyorkNew England$391,550$2301,719VTwashingtonNew England$222,500$1351,670NHstraffordNew England$311,471$1661,885MAsuffolkNew England$699,050$6471,259MAnorfolkNew England$642,500$3092,210NHhillsboroughNew England$339,950$1642,090RIwashingtonNew England$499,050$2591,871NHbelknapNew England$289,950$1561,869VTrutlandNew England$228,800$1171,993RInewportNew England$579,050$2922,128MAfranklinNew England$230,050$1331,800MEpenobscotNew England$157,050$941,600VTwashingtonNew England$300,050$1541,896MAberkshireNew England$379,950$1852,032MEkennebecNew England$187,050$1041,695NHcheshireNew England$266,550$1321,981VTfranklinNew England$219,950$1201,750CTnew londonNew England$290,000$1531,848NHmerrimackNew England$314,950$1462,174NHmerrimackNew England$299,950$1402,176NHhillsboroughNew England$358,950$1732,036CTwindhamNew England$204,000$1231,615VTwashingtonNew England$295,050$1471,888CTnew londonNew England$268,500$1591,648CTnew havenNew England$279,950$1581,724MAplymouthNew England$491,550$2442,028MAfranklinNew
- 2. England$223,800$1351,780NHcheshireNew England$260,500$1311,838CTnew havenNew England$279,050$1531,790MEpenobscotNew England$159,750$1001,588NHgraftonNew England$259,300$1501,840VTwashingtonNew England$299,050$1471,850MEyorkNew England$339,050$2051,772CTnew havenNew England$272,421$1501,763MAsuffolkNew England$764,050$6691,341NHgraftonNew England$253,850$1431,741RInewportNew England$598,050$2922,170MAmiddlesexNew England$655,000$2762,400MAfranklinNew England$299,050$1501,960CTnew londonNew England$274,950$1211,212RIprovidenceNew England$279,050$1851,504MAbarnstableNew England$599,950$3181,920CTlitchfieldNew England$398,050$1722,268NHbelknapNew England$295,000$1621,838NHbelknapNew England$269,950$1531,797MAsuffolkNew England$799,050$7081,311RIkentNew England$275,050$1771,524CTnew havenNew England$258,500$1461,410VTwindsorNew England$349,050$1582,120CTlitchfieldNew England$329,950$1501,776NHcheshireNew England$234,550$1231,845NHcheshireNew England$258,864$1261,968NHhillsboroughNew England$341,444$1602,126RIwashingtonNew England$489,950$2531,812CTmiddlesexNew England$342,450$1701,874CTnew londonNew England$294,050$1541,880NHstraffordNew England$284,950$1551,819MAsuffolkNew England$774,500$6701,359MAbristolNew England$385,050$2101,873MAbristolNew England$375,050$2061,880RIkentNew England$319,950$2041,537MAsuffolkNew England$722,500$6451,275MAhampdenNew
- 3. England$239,950$1451,668MEkennebecNew England$182,050$1081,678MAsuffol kNew England$882,550$7601,385VTchittendenNew England$397,500$1802,162CThartfordNew England$263,707$1421,850VTwashingtonNew England$279,050$1521,752NHstraffordNew England$297,550$1491,852CThartfordNew England$247,750$1351,452MAbristolNew England$399,500$2151,847CTnew londonNew England$317,050$1641,884MAnorfolkNew England$624,950$2842,303RIbristolNew England$499,950$2502,234NHrockinghamNew England$410,050$1902,170NHmerrimackNew England$279,950$1422,016MAhampdenNew England$239,950$1451,664NHmerrimackNew England$283,525$1322,002VTrutlandNew England$199,950$1111,857MEkennebecNew England$234,050$1281,768VTchittendenNew England$379,050$1812,050MEandroscogginNew England$217,443$1251,679MAhampdenNew England$244,994$1481,726NHrockinghamNew England$429,950$1982,066CTli tchfieldNew England$377,050$1662,185MAhampshireNew England$325,050$1791,907NHgraftonNew England$229,050$1271,732CTnew londonNew England$290,000$1581,680CTfairfieldNew England$746,550$2872,645VTwashingtonNew England$297,050$1431,936NHrockinghamNew England$461,950$2172,099MAplymouthNew England$509,550$2502,050MEpenobscotNew England$158,864$991,596MAnorfolkNew England$597,500$2842,214MAplymouthNew England$469,050$2352,000VTchittendenNew England$397,086$1902,100RIkentNew England$274,950$1791,555VTfranklinNew England$249,050$1311,799MAworcesterNew
- 8. England$370,721$1722,192CTfairfieldNew England$739,050$2932,649MAbarnstableNew England$575,050$2991,946MAworcesterNew England$337,500$1821,881MAhampdenNew England$229,950$1441,636CTwindhamNew England$251,050$1471,601MEandroscogginNew England$185,050$1111,689VTwindsorNew England$289,050$1421,944NHcheshireNew England$244,050$1171,872NHbelknapNew England$299,950$1641,902CTnew havenNew England$260,050$1471,748CTmiddlesexNew England$340,621$1681,974MAbristolNew England$352,500$2001,813RInewportNew England$580,050$2992,054MAessexNew England$525,050$2632,015NHbelknapNew England$270,049$1561,806NHbelknapNew England$329,050$1651,916RIprovidenceNew England$269,950$1751,500CTnew londonNew England$312,050$1631,836NHrockinghamNew England$452,500$2152,088MEyorkNew England$342,101$2081,758MAberkshireNew England$379,800$1822,033MEkennebecNew England$199,950$1161,768VTwashingtonNew England$295,050$1481,862CTnew londonNew England$289,950$1571,656MAfranklinNew England$259,950$1411,824MEkennebecNew England$213,982$1211,798MAessexNew England$546,049$2502,200NHgraftonNew England$237,550$1371,755NHgraftonNew England$259,050$1501,836CThartfordNew England$249,050$1401,504VTrutlandNew England$236,550$1212,000MEcumberlandNew England$395,050$2141,827CTtollandNew England$269,950$1411,842MEpenobscotNew England$149,050$921,563VTfranklinNew England$217,050$1191,849MAplymouthNew
- 10. England$172,500$1011,604VTrutlandNew England$229,050$1201,980MAbristolNew England$405,279$2141,848MAberkshireNew England$377,050$1862,059CTnew havenNew England$259,950$1461,736RIprovidenceNew England$248,000$1631,500RIprovidenceNew England$259,950$1721,512VTrutlandNew England$199,950$1111,896NHgraftonNew England$222,450$1281,700NHrockinghamNew England$427,000$1972,077MEcumberla ndNew England$369,950$2041,868MAnorfolkNew England$616,759$2982,200RIbristolNew England$499,950$2612,053MAhampdenNew England$239,950$1471,679RIprovidenceNew England$282,000$1931,512MAworcesterNew England$289,500$1621,800NHbelknapNew England$317,000$1661,838CTfairfieldNew England$829,950$2982,867MAessexNew England$599,500$2772,183CThartfordNew England$244,950$1471,632CTtollandNew England$267,950$1312,004MAberkshireNew England$399,050$1882,029RIprovidenceNew England$252,550$1661,534CTfairfieldNew England$796,800$2892,769RIbristolNew England$485,000$2452,009MAworcesterNew England$379,950$1902,059VTwindsorNew England$325,050$1482,038NHrockinghamNew England$419,950$1962,173MEpenobscotNew England$160,950$1021,584VTrutlandNew England$200,050$1151,870NHbelknapNew England$318,386$1681,912CTlitchfieldNew England$399,050$1722,271CTnew londonNew England$280,000$1141,117CTmiddlesexNew England$319,950$1461,486MEpenobscotNew England$143,800$921,560CTwindhamNew England$224,950$1271,695NHrockinghamNew
- 11. England$442,000$2052,203MAberkshireNew England$320,050$1691,958MAplymouthNew England$447,200$2241,954CThartfordNew England$249,950$1481,662NHbelknapNew England$299,500$1581,792MEyorkNew England$349,900$2101,756RIbristolNew England$480,050$2482,091NHgraftonNew England$269,050$1511,838CTnew londonNew England$274,950$1441,460MEyorkNew England$335,000$2051,738RIkentNew England$274,950$1871,506MAplymouthNew England$450,050$2321,965MAbarnstableNew England$597,336$3281,865MAworcesterNew England$309,950$1701,840NHstraffordNew England$324,050$1711,806CTwindhamNew England$250,000$1451,706MAplymouthNew England$510,707$2502,107CTnew havenNew England$270,421$1591,597MAmiddlesexNew England$659,050$2852,280NHcheshireNew England$239,050$1231,932MEandroscogginNew England$215,050$1231,706MAfranklinNew England$295,050$1471,935MAmiddlesexNew England$679,500$2952,234MAnorfolkNew England$599,050$2822,208MAhampdenNew England$249,950$1491,757MEyorkNew England$369,950$2271,711MAbarnstableNew England$550,050$3211,813MEkennebecNew England$209,413$1191,800NHstraffordNew England$337,800$1722,013VTwindsorNew England$310,050$1472,001CTnew havenNew England$259,950$1561,568NHbelknapNew England$270,049$1481,803VTwashingtonNew England$279,250$1401,870MAbarnstableNew England$599,950$3201,907MEyorkNew England$345,050$2071,772MAberkshireNew England$349,050$1742,038NHhillsboroughNew
- 12. England$362,450$1722,147CTlitchfieldNew England$330,050$1111,296VTfranklinNew England$245,050$1321,794MAbristolNew England$387,500$2101,872MAfranklinNew England$275,050$1431,943CTnew londonNew England$278,500$1571,680RIprovidenceNew England$272,550$1831,497MEyorkNew England$384,950$2331,741CTnew londonNew England$287,050$1511,858CTfairfieldNew England$842,050$3002,873NHbelknapNew England$299,950$1691,792RIprovidenceNew England$267,000$1711,578NHrockinghamNew England$439,950$2072,136CTmiddlesexNew England$325,050$1291,260CTnew havenNew England$273,370$1561,527VTwindsorNew England$339,050$1502,147RIkentNew England$310,000$1991,539CTtollandNew England$255,450$1291,524VTwindsorNew England$288,550$1461,943CThartfordNew England$262,257$1421,844CThartfordNew England$259,750$1491,637RIprovidenceNew England$290,314$1911,546MAplymouthNew England$459,950$2321,993MAnorfolkNew England$589,500$2912,100VTrutlandNew England$229,950$1192,024VTwindsorNew England$330,050$1482,114CTnew londonNew England$297,050$1541,901VTchittendenNew England$377,550$1812,058MAbristolNew England$359,550$1931,881NHmerrimackNew England$266,750$1331,955VTfranklinNew England$235,550$1271,846RIkentNew England$275,000$1881,515RIbristolNew England$565,550$2632,255MEyorkNew England$346,300$2121,699MAsuffolkNew England$799,050$7491,270NHcheshireNew England$244,950$1231,872RIprovidenceNew
- 19. England$272,000$1341,996CT… Industrial Revolution Report For this assignment, students will report on one aspect of the Industrial Revolution. Choose from one of the following topics for your essay: ● Growth of Industry; ● Growth of Cities; ● New Immigration or ● Organized Labor Write an essay and include the following: • A general description • The cause and effect • The positives and negatives • A concluding paragraph giving your personal response to the effects on society today of your topic. Citations: The information found in the textbook is useful, but students will need to use two additional sources. Cite all sources, and include this information on the bottom of the last page of your research. **Any assignments received without citations will be returned. Students should include pictures, photos, creative touches. Also cite any clip art or pictures used.
- 20. This is a 25 point assignment • 15 points – thoroughness, accuracy, and level of analysis of Industrial Revolution Topic • 5 points: organization of reporting, creativity, good aesthetics, attractive, use of color, pictures • 5 points: professionally written – good spelling, grammar, mechanics, title, sentence and paragraph structure, etc. Remember to include a works cited list! Summary statistics: Column n Mean Std. dev. Min Q1 Median Q3 Max median listing price 978 288,407 163,986 75,309 186,742 256,936 337,342 1,653,763 median $'s per square foot 978 142 92 21 95 121 157 1,084 median square feet 978 1,944 367 697 1,726 1,901 2,126 3,945
- 21. This graph shows the frequency for median listing price in thousands. The graph shows the frequency of median square feet. Regional vs. National Housing Price Comparison Report 2 [Note: To complete this template, replace the bracketed text with your own content. Remove this note before you submit your outline.]Report: Regional vs. National Housing Price Comparison [Your Name] Regional vs. National Housing Price Comparison Report 1 Southern New Hampshire University Introduction Purpose: [Include in this section a brief overview, the purpose of the report, and your approach. Define your random sample and two hypotheses (means) to analyze.] Sample: [Take a random sample of observations from your region and describe what is included in your sample (i.e., states, region, years or months).]
- 22. Questions and type of test: [For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. For each hypothesis question, answer questions 3a-c from the Project Two Guidelines and Rubric. This includes questions about the population parameter, your hypothesis, the inference method you will use, and how you will use estimation and confidence intervals to help you solve the problem.] 1-Tail Test Hypothesis: [Define the population parameter. Write null and alternative hypotheses. Note: For means, define a hypothesis that is greater than the population parameter. Specify your significance level.] Data analysis: [Summarize your sample data using appropriate graphical displays and summary statistics.] [Provide at least one histogram of your sample data.] [In a table, provide summary statistics including sample size, mean, median, and standard deviation.] Note: For quartiles 1 and 3, use the quartile function in Excel: =QUARTILE([data range], [quartile number]) [Summarize your sample data, describing the center, spread, and shape in context.] [Note: For shape, think about the distribution: skewed or symmetric.] [Check the assumptions by determining if the normal condition has been met. Determine if there are any other conditions that you should check and whether they have been met.] [Note: Think about the central limit theorem and sampling methods.] Hypothesis Test Calculations: [Determine the appropriate test statistic (t).] [Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.]
- 23. [Calculate the probability (p value).] [Note: This calculation is done with the T.DIST.RT function in Excel: =T.DIST.RT([test statistic], [degree of freedom]). The degree of freedom is calculated by subtracting 1 from your sample size.] Interpretation: [Relate the p value and significance level.] [Make the correct decision (reject or fail to reject).] [Provide a conclusion in the context of your hypothesis.] 2-Tail Test Hypotheses: [Define the population parameter. Write null and alternative hypotheses.] [Note: For means, define a hypothesis that is not equal to the population parameter.] [State your significance level.] Data Analysis: [Summarize your sample data using appropriate graphical displays and summary statistics.] [Provide at least one histogram of your sample data.] [In a table, provide summary statistics including sample size, mean, and standard deviation.] [Note: For quartiles 1 and 3, use the quartile function in Excel: =QUARTILE([data range], [quartile number]) ] [Summarize your sample data, describing the center, spread, and shape in comparison to the national information.] [Note: For shape, think about the distribution: skewed or symmetric.] [Check the assumptions by determining if the normal condition has been met. Determine if there are any other conditions that you should check and whether they have been met.] Note: Think about the central limit theorem and sampling methods. Hypothesis Test Calculations: [Determine the appropriate test statistic (t).]
- 24. [Note: This calculation is (mean – target)/standard error. In this case, the mean is your regional mean, and the target is the national mean.] [Calculate the probability (p value).] [Note: This calculation is done with the TDIST.2T function in Excel: =T.DIST.RT([test statistic], [degree of freedom]). The degree of freedom is calculated by subtracting 1 from your sample size.] Interpretation: [Relate the p value and significance level.] [Make the correct decision (reject or fail to reject).] [Provide a conclusion in context to your hypothesis.] Comparison of the Test Results: [Calculate the 95% confidence interval and show or describe the method of calculation.] [Interpret the confidence 95% confidence interval in context.] Final Conclusions [Summarize Your Findings: Refer back to Step 1 and summarize your findings of the sample you selected.] [Discuss: Discuss if you were surprised by the findings including why or why not.] Competency In this project, you will demonstrate your mastery of the following competency: · Apply statistical techniques to address research problems. · Perform hypothesis testing to address an authentic problem. Overview In this project, you will apply inference methods for means to test your hypotheses about the housing sales market for a region of the United States. You will use appropriate sampling and statistical methods. Scenario You have been hired by your regional real estate company to determine if your region’s housing prices and housing square footage are significantly different from those of the national
- 25. market. The regional sales director has three questions that they want to see addressed in the report: 1. Are housing prices in your regional market higher than the national market average? 2. Is the square footage for homes in your region different than the average square footage for homes in the national market? 3. For your region, what is the range of values for the 95% confidence interval of square footage for homes in your market? You are given a real estate data set that has houses listed for every county in the United States. In addition, you have been given national statistics and graphs that show the national averages for housing prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a report to the regional sales director. You will do so by completing the Project Two Template located in the What to Submit area below. Directions Introduction 1. Purpose: What was the purpose of your analysis, and what is your approach? a. Define a random sample and two hypotheses (means) to analyze. 2. Sample: Define your sample. Take a random sample of 100 observations for your region. a. Describe what is included in your sample (i.e., states, region, years or months). 3. Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis: a. Describe the population parameter for the variable you are analyzing. b. Describe your hypothesis in your own words. c. Describe the inference test you will use. i. Identify the test statistic. 4. Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.
- 26. 1-Tailed Test 1. Hypothesis: Define your hypothesis. a. Define the population parameter. b. Write null (Ho) and alternative (Ha) hypotheses. c. Specify your significance level. 2. Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test. a. Summarize your sample data using appropriate graphical displays and summary statistics. i. Provide at least one histogram of your sample data. ii. In a table, provide summary statistics including sample size, mean, median, and standard deviation. iii. Summarize your sample data, describing the center, spread, and shape in comparison to the national information. b. Check the conditions. i. Determine if the normal condition has been met. ii. Determine if there are any other conditions that you should check and whether they have been met. 3. Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs. a. Calculate the hypothesis statistics. i. Determine the appropriate test statistic (t). ii. Calculate the probability (p value). 4. Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis. a. Relate the p value and significance level. b. Make the correct decision (reject or fail to reject). c. Provide a conclusion in the context of your hypothesis. 2-Tailed Test a. Hypotheses: Define your hypothesis. 1. Define the population parameter. 2. Write null and alternative hypotheses. 3. State your significance level. b. Data analysis: Analyze the data and confirm assumptions have not been violated to complete this hypothesis test.
- 27. b. Summarize your sample data using appropriate graphical displays and summary statistics. 1. Provide at least one histogram of your sample data. 1. In a table, provide summary statistics including sample size, mean, median, and standard deviation. 1. Summarize your sample data, describing the center, spread, and shape in comparison to the national information. b. Check the assumptions. 2. Determine if the normal condition has been met. 2. Determine if there are any other conditions that should be checked on and whether they have been met. 1. Hypothesis test calculations: Complete hypothesis test calculations, providing the appropriate statistics and graphs. c. Calculate the hypothesis statistics. 1. Determine the appropriate test statistic (t). 1. Determine the probability (p value). 1. Interpretation: Interpret your hypothesis test results using the p value method to reject or not reject the null hypothesis. d. Relate the p value and significance level. d. Make the correct decision (reject or fail to reject). d. Provide a conclusion in the context of your hypothesis. 1. Comparison of the test results: See Question 3 from the Scenario section. e. Calculate a 95% confidence interval. Show or describe your method of calculation. e. Interpret a 95% confidence interval. Final Conclusions 1. Summarize your findings: Refer back to the Introduction section above and summarize your findings of the sample you selected. 2. Discuss: Discuss whether you were surprised by the findings. Why or why not?