4. The website realtor.com listed the following sale prices (in $1000s) for a sample of 10 homes sold in 2019 in Los Osos, CA: 525 830 600 180 129 525 350 490 640 475 (a) Calculate and interpret the sample mean and median. (b) Suppose the second observation was 930 instead of 830. How would that affect the mean and median? (c) The two low outliers in the sample were mobile homes. If we excluded those two observations, how would that affect the mean and median? (d) Calculate a 20% trimmed mean by first trimming the two smallest and two largest observations. (e) Calculate a 15% trimmed mean.
4. The website realtor.com listed the following sale prices (in $1000s) for a sample of 10 homes sold in 2019 in Los Osos, CA: 525 830 600 180 129 525 350 490 640 475 (a) Calculate and interpret the sample mean and median. (b) Suppose the second observation was 930 instead of 830. How would that affect the mean and median? (c) The two low outliers in the sample were mobile homes. If we excluded those two observations, how would that affect the mean and median? (d) Calculate a 20% trimmed mean by first trimming the two smallest and two largest observations. (e) Calculate a 15% trimmed mean.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please I need help with this question needed very clearly and step by step explanation and needed with clear handwriting please, will be really appreciated for your help
Transcribed Image Text:4. The website realtor.com listed the following sale prices (in $1000s) for a sample of 10 homes sold
in 2019 in Los Osos, CA:
525 830 600 180 129 525 350 490 640 475
(a) Calculate and interpret the sample mean and median.
(b) Suppose the second observation was 930 instead of 830. How would that affect the mean and
median?
(c) The two low outliers in the sample were mobile homes. If we excluded those two observations,
how would that affect the mean and median?
(d) Calculate a 20% trimmed mean by first trimming the two smallest and two largest observations.
(e) Calculate a 15% trimmed mean.
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