2. The following command was executed in the R console in RStudio: punif(0.75, min=2, max=10). 2.1. Graph the corresponding continuous distribution over the interval (-2, 14), the pertinent value/s of the density function f(x) over the interval, and of course the x- and y- (or f(x)) axes. Make the graph as large as possible so that labels are legible. 3 2.2. Evaluate the integral S f(x)dx , where f(x) is the density function of the distribution. You should split this into two integrals, and one of them is improper in which case evaluate it the way improper integrals are evaluated.

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2. The following command was executed in the R console in RStudio: punif(0.75, min=2, max=10). 2.1. Graph the corresponding continuous distribution over the interval (-2, 14), the pertinent value/s of the density function f(x) over the interval, and of course the x- and y- (or f(x)) axes. Make the graph as large as possible so that labels are legible. 3 2.2. Evaluate the integral S f(x)dx , where f(x) is the density function of the distribution. You should split this into two integrals, and one of them is improper in which case evaluate it the way improper integrals are evaluated.

2. The following command was executed in the R console in RStudio:
punif(0.75, min=2, max=10).
2.1. Graph the corresponding continuous distribution over the interval (-2, 14), the pertinent
value/s of the density function f(x) over the interval, and of course the x- and y- (or f(x))
axes. Make the graph as large as possible so that labels are legible.
3
2.2. Evaluate the integral S f(x)dx , where f(x) is the density function of the distribution.
You should split this into two integrals, and one of them is improper in which case
evaluate it the way improper integrals are evaluated.
Transcribed Image Text:2. The following command was executed in the R console in RStudio: punif(0.75, min=2, max=10). 2.1. Graph the corresponding continuous distribution over the interval (-2, 14), the pertinent value/s of the density function f(x) over the interval, and of course the x- and y- (or f(x)) axes. Make the graph as large as possible so that labels are legible. 3 2.2. Evaluate the integral S f(x)dx , where f(x) is the density function of the distribution. You should split this into two integrals, and one of them is improper in which case evaluate it the way improper integrals are evaluated.
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