The Data The dataset "energy" is a random sample of 56 cases from “Existing Buildings Energy Performance Ordinance Report” from the City of San Francisco Open Data Portal. There are 2,629 cases in the...



The Data


The dataset "energy" is a random sample of 56 cases from “Existing Buildings Energy Performance Ordinance Report” from the City of San Francisco Open Data Portal. There are 2,629 cases in the dataset.


Citation: SFEBO Help Desk.(Last updated 11/13/2020).Existing Buildings Energy Performance Ordinance Report [data file]. Provided by SF Environment. (Retrieved 11/29/2020). https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Energy-Performance-Ordinance-Re/j2j3-acqj


There are 57 cases. Each case is a building in San Francisco that must be benchmarked using Energy Star Portfolio Manager annually.


There are 6 variables:



  • parcel - the parcel number

  • building - the building name

  • postal_code - the postal code

  • year_built - the year the building was built

  • energy_score19 - the ENERGY STAR score for 2019; 1 - 100, where 50 is the national median score, and 100 is best energy performance.

  • energy_score18 - the ENERGY STAR score for 2018


energy.csv download https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Energy-Performance-Ordinance-Re/j2j3-acqj



The Statistics


For the 57 building in the sample, the average change from scores in 2018 to 2019 was 1.614035, with a standard deviation of 9.315414.




Question


Use the statistics from the energy dataset to answer the following question:


"With 99% confidence, what is the average change in ENERGY STAR scores from 2018 to 2019 for all buildings in San Francisco that require annual benchmarks?"


*If any conditions are not met, please state which one(s) and proceed with the inference.

Jun 03, 2022
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