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A chemical engineer desiring to study the evaporation rate of water from brine evaporation beds obtained data on the number of inches of evaporation in each of 55 July days spread over 4 years. The data are given in the following stem and leaf plot, which shows that the smallest data value was .02 inches, and the largest .56 inches.
.0
2, 6
.1
1, 4
.2
1, 1, 1, 3, 3, 4, 5, 5, 5, 6, 9
.3
0, 0, 2, 2, 2, 3, 3, 3, 3, 4, 4, 5, 5, 5, 6, 6, 7, 8, 9
.4
0, 1, 2, 2, 2, 3, 4, 4, 4, 5, 5, 5, 7, 8, 8, 8, 9, 9
.5
2, 5, 6
Find the
(a) sample mean;
(b) sample median;
(c) sample standard deviation of these data.
(d) Do the data appear to be approximately normal?
(e) What percentage of data values are within 1 standard deviation of the mean?
First-order regression model was fit to data. Part of printout follows?
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Give an example of a situation in which multiple linear regression, discriminate analysis, canonical correlation, and multivariate analysis of variance might be used.
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