Can someone show me the steps to this and answer
1 answer:
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Answer:
a) see attached
b) see attached
Step-by-step explanation:
There is existence of outlier in the Ni data and there is none is Cr data.
########################################
# You can try this out in R programming
cr = c(34, 1, 511, 2, 574, 496, 322, 424, 269, 140, 244, 252, 76, 108, 24,
38, 18, 34, 30, 191)
Ni = c(23, 22, 55, 39, 283, 34, 159, 37, 61, 34, 163, 140, 32,
23, 54, 837, 64, 354, 376, 471)
par(mfrow=c(1,2))
hist(cr, col='green')
hist(Ni, col='brown')
par(mfrow=c(1,2))
boxplot(cr, main = 'Boxplot of Cr')
boxplot(Ni, main = 'Boxplot of Ni')
boxplot(cr, Ni)
Step-by-step explanation:
For all y values, just look along the y-axis. The same applies to the x-axis.
