DataRandom number generator to generate 50 values between zero and one. 0.08290.19170.83150.48970.58530.13760.91300.06180.20300.45210.36710.19211.0000.58950.55680.35560.12930.55570.23410.49250.19480.65020.47710.75510.54250.99480.91280.83580.60530.68060.42900.20060.56540.34560.65680.31630.90020.60100.51730.42090.24070.59870.86260.27760.00510.81370.88310.97490.10410.6744Plot the DataConstruct a box plot of the data. Be sure to use a ruler t scale accurately and draw straight edges. Do you notice any potential outliers? If so, which values are they? Either way, justify your answer numerically. (Recall that any DATA that are less than Q1 – 1.5(IQR) or more than Q3 + 1.5(IQR) are potential outliers. IQR means interquartile range.)Suppose that the number of values generated was 500, not 50. How would that affect what you would expect the empirical data to be and the shape of its graph to look like?

Answered: Data Random number generator to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

Data

Random number generator to generate 50 values between zero and one.

0.0829	0.1917	0.8315	0.4897	0.5853
0.1376	0.9130	0.0618	0.2030	0.4521
0.3671	0.1921	1.000	0.5895	0.5568
0.3556	0.1293	0.5557	0.2341	0.4925
0.1948	0.6502	0.4771	0.7551	0.5425
0.9948	0.9128	0.8358	0.6053	0.6806
0.4290	0.2006	0.5654	0.3456	0.6568
0.3163	0.9002	0.6010	0.5173	0.4209
0.2407	0.5987	0.8626	0.2776	0.0051
0.8137	0.8831	0.9749	0.1041	0.6744

Plot the Data

Construct a box plot of the data. Be sure to use a ruler t scale accurately and draw straight edges.
Do you notice any potential outliers? If so, which values are they? Either way, justify your answer numerically. (Recall that any DATA that are less than Q₁ – 1.5(IQR) or more than Q₃ + 1.5(IQR) are potential outliers. IQR means interquartile range.)
Suppose that the number of values generated was 500, not 50. How would that affect what you would expect the empirical data to be and the shape of its graph to look like?

Expert Solution

Step 1:-(a)

Arrange the numbers in ascending order:
0.01,0.06,0.08,0.1,0.13,0.14,0.19,0.19,0.19,0.2,0.2,0.23,0.24,0.28,0.32,0.35,0.36,0.37,0.42,0.43,0.45,0.48,0.49,0.49,0.52,0.54,0.56,0.56,0.57,0.59,0.59,0.6,0.6,0.61,0.65,0.66,0.67,0.68,0.76,0.81,0.83,0.84,0.86,0.88,0.9,0.91,0.91,0.97,0.99,1

The minimum value
Minimum =0.0051 (the smallest number)

The maximum value
Maximum =1 (the largest number)