"P(X\\le a)=\\frac{1}{0.33\\sqrt{2\\pi}}\\int\\limits_{-\\infty}^a e^{-\\frac{(x-3.75)^2}{2*0.33^2}}dx="
"=\\frac{1}{0.33\\sqrt{2\\pi}}\\int\\limits_{-\\infty}^{\\frac{a-3.75}{0.33}} e^{-\\frac{y^2}{2}}d(0.33y+3.75)="
"=\\frac{1}{\\sqrt{2\\pi}}\\int\\limits_{-\\infty}^{\\frac{a-3.75}{0.33}} e^{-\\frac{y^2}{2}}dy" , where "y=\\frac{x-3.75}{0.33}" and so "x=0.33y+3.75"
https://www.math.arizona.edu/~rsims/ma464/standardnormaltable.pdf - it is table of the standard distribution, so "P(X\\le a)=Z\\bigl(\\frac{a-3.75}{0.33}\\bigr)"
1)"P(X\\ge 2.8)=1-P(X\\le 2.8)=1-Z\\bigl(\\frac{2.8-3.75}{0.33}\\bigr)\\approx"
"1-Z(-2.88)\\approx 1-0.00199=0.99801"
2)From table we see that "Z(1.41)=0.92"
We can find that "\\frac{a-3.75}{0.33}=1.41" while "a=4.2153" , so "0.92=Z(1.41)=Z\\bigl(\\frac{4.2153-3.75}{0.33}\\bigr)=P(X\\le 4.2153)"
Answer:
1)"0.99801"
2)4.2153 kg
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