Stats: Help With Multiplication Rule

AI Thread Summary
The discussion revolves around understanding the application of multiplication rules in probability, specifically distinguishing between independent and dependent events. The original poster struggles with a problem involving the probability of drivers having accidents based on their risk classification. A key point made is that the correct approach involves calculating a weighted average of the accident rates for each risk group, rather than using division and multiplication of the accident rates. Clarification is provided that the problem involves mutually exclusive groups, which simplifies the calculation. Overall, the focus is on correctly applying probability concepts to solve the problem effectively.
shawnz1102
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I am having a difficult time grasping the multiplication rules - The rules are easy to remember but actually applying it to a problem is so confusing and frustrating as I don't know whether to use Rule #1 (independent events) or Rule #2 (Dependent events).

Here's a problem from my book that I just cannot solve:

An insurance company classifies drivers as low-risk, medium-risk, and high-risk. Of those insured, 60% are low risk, 30% are medium risk, and 10% are high risk. After a study, the company finds that during a 1-year period, 1% of the low risk drivers had an accident, 5% of the medium risk drivers had an accident, and 09% of the high risk drivers had an accident. If a drier is selected at random, find the probability that the driver will have had an accident during that year.

Ans: 0.03

What i tried doing was (0.01/0.6 * 0.05/0.3 * 0.09/0.1); looks like that's not the answer :(

Does anyone know how to solve this, and whether it's an independent or dependent event?

THANKS IN ADVANCE!
 
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shawnz1102 said:
I am having a difficult time grasping the multiplication rules - The rules are easy to remember but actually applying it to a problem is so confusing and frustrating as I don't know whether to use Rule #1 (independent events) or Rule #2 (Dependent events).

Here's a problem from my book that I just cannot solve:



What i tried doing was (0.01/0.6 * 0.05/0.3 * 0.09/0.1); looks like that's not the answer :(

Does anyone know how to solve this, and whether it's an independent or dependent event?

THANKS IN ADVANCE!
The expression you show above is wrong on two counts - you shouldn't be dividing by the group percentages, and you shouldn't be multiplying the three fractions.

This probability will be a weighted average of the accident rates in the three groups.
The probability is (accident rate in low-risk group * relative proportion of low-risk group) + (accident rate in medium-risk group * relative proportion of medium-risk group) + (accident rate in high-risk group * relative proportion of high-risk group)
 
Thank you so much Mark!

When I encounter a problem like this, how do i know that it will be a weighted average problem?
 
I wouldn't characterize it as a "weighted average problem"; I was just describing the expression I got. It's basically a probability problem with three mutually exclusive groups: low-risk, medium-risk, and high-risk drivers, and the relative probabilities of each group.
 
Got it, thanks!
 
I tried to combine those 2 formulas but it didn't work. I tried using another case where there are 2 red balls and 2 blue balls only so when combining the formula I got ##\frac{(4-1)!}{2!2!}=\frac{3}{2}## which does not make sense. Is there any formula to calculate cyclic permutation of identical objects or I have to do it by listing all the possibilities? Thanks
Since ##px^9+q## is the factor, then ##x^9=\frac{-q}{p}## will be one of the roots. Let ##f(x)=27x^{18}+bx^9+70##, then: $$27\left(\frac{-q}{p}\right)^2+b\left(\frac{-q}{p}\right)+70=0$$ $$b=27 \frac{q}{p}+70 \frac{p}{q}$$ $$b=\frac{27q^2+70p^2}{pq}$$ From this expression, it looks like there is no greatest value of ##b## because increasing the value of ##p## and ##q## will also increase the value of ##b##. How to find the greatest value of ##b##? Thanks
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