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SakuRERE
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Misplaced Homework Thread moved from the technical forums
TL;DR Summary: Finding the probability with one measurement and multiple measurements on separate days.
Question: Hypokalemia is diagnosed when blood potassium levels are low, below 3.5 mmol/L. Let’s assume we know a patient whose measured potassium levels vary daily according to N(µ = 3.8 mmol/L, σ = 0.2 mmol/L).
(a) If a single potassium measurement is made, what is the probability that the patient is diagnosed as hypokalemic?
(b) If measurements are made instead on 4 separate days, what is the probability that the patient is diagnosed with hypokalemia?
For part A -->
I solved the question as a standardized normal distribution. I tried to find P(x<=3.5),
using the standard normal formula z= X-Mean/SD I converted the X value 3.5 to a Z score and got P(x<=-1.5)
after that, I used the Gauss table to find the probability and it was P(x<=-1.5)= 0.0668
this answer was similar to the answer key provided by our professor.
However, for the second part, the answer key has to be 0.0013 but I can't think of a way to figure it out. And I don't understand how taking different measurements on separate days will influence my probability.
I will appreciate your help, thank you!
I attached the positive and negative Gauss tables for easier accessibility.
Question: Hypokalemia is diagnosed when blood potassium levels are low, below 3.5 mmol/L. Let’s assume we know a patient whose measured potassium levels vary daily according to N(µ = 3.8 mmol/L, σ = 0.2 mmol/L).
(a) If a single potassium measurement is made, what is the probability that the patient is diagnosed as hypokalemic?
(b) If measurements are made instead on 4 separate days, what is the probability that the patient is diagnosed with hypokalemia?
For part A -->
I solved the question as a standardized normal distribution. I tried to find P(x<=3.5),
using the standard normal formula z= X-Mean/SD I converted the X value 3.5 to a Z score and got P(x<=-1.5)
after that, I used the Gauss table to find the probability and it was P(x<=-1.5)= 0.0668
this answer was similar to the answer key provided by our professor.
However, for the second part, the answer key has to be 0.0013 but I can't think of a way to figure it out. And I don't understand how taking different measurements on separate days will influence my probability.
I will appreciate your help, thank you!
I attached the positive and negative Gauss tables for easier accessibility.