a.q5.py imports the Python function mean(). Use this function to find the mean of price. In your Solution document, give the mean rounded to two decimal places (manually or using Python). Also provide the Python code you used for calling the mean() function and explain how you executed it.
a.q5.py imports the Python function mean(). Use this function to find the mean of price. In your Solution document, give the mean rounded to two decimal places (manually or using Python). Also provide the Python code you used for calling the mean() function and explain how you executed it.
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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a.q5.py imports the Python function mean().
Use this function to find the mean of price.
In your Solution document, give the mean rounded to two decimal places (manually or using Python). Also provide the Python code you used for calling the mean() function and explain how you executed it.
Transcribed Image Text:16:28 b •
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values. These lists contain data about house prices per
metre squared in London, between 2004 and 2016. The
annual data on house price by size of property is
calculated using data from HM Land Registry and
Valuation Office Agency.
The list year is a list of the years and the list
price contains the corresponding average house
price per metre squared for each of these years.
Both data sets are from the Office for National Statistics
(Office for National Statistics, 2017).
7000
The following statistics show that the price of houses
generally increases every year. For example, the price
per area in London in 2016 was 198% (nearly double)
that of 2004.
6000
5000
4000
TMA 02
3000
2000
NO.54%
1000
0
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Figure 1 House prices based on size House Price per
area (metre squared) in London, 2004 to 2016 (house
and flat)
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