(a) Compute the mean and median percentage of hourly employees being laid off at these stores. mean % median % (b) Compute the first and third quartiles. first quartile % third quartile % (c) Compute the range and interquartile range. range % interquartile range %
(a) Compute the mean and median percentage of hourly employees being laid off at these stores. mean % median % (b) Compute the first and third quartiles. first quartile % third quartile % (c) Compute the range and interquartile range. range % interquartile range %
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
A newspaper reported that a retail corporation is planning to lay off 2,300 employees at many of its locations. Approximately half of the hourly employees will be laid off. Suppose the following data represent the percentage of hourly employees laid off for 15 of the company's stores.
| 56 | 57 | 45 | 44 | 45 | 57 | 61 | 63 | 58 | 46 | 37 | 39 | 51 | 70 | 66 |
(a)
Compute the mean and median percentage of hourly employees being laid off at these stores.
mean %
median %
(b)
Compute the first and third quartiles .
first quartile %
third quartile %
(c)
Compute the range and interquartile range .
range %
interquartile range %
(d)
Compute the variance and standard deviation. (Round your answers to four decimal places.)
variance
standard deviation %
Expert Solution
Step 1
Given that
The data are
| 56 | 57 | 45 | 44 | 45 | 57 | 61 | 63 | 58 | 46 | 37 | 39 | 51 | 70 | 66 |
n=15
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