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Bunuel
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Bunuel
Ms Li works at an office where the work timing is from 9:00 AM to 6:00 PM. 25% of a year she goes late to office and 35% of a year she leaves early from office. If P is the probability that she works at office the entire working day then

A. 0.25 ≤ P ≤ 0.35
B. 0.25 ≤ P ≤ 0.65
C. 0.4 ≤ P ≤ 0.65
D. 0.35 ≤ P ≤ 0.4
E. 0.1 ≤ P ≤ 0.6
If Ms Li's late arrival probability does not overlaps with her early leaving probability then we are left with (0.25) + (0.35) + x = 1, where x is the probability(min.) of her working the entire day.
\(\implies x_{min} = 0.40\) [We can pick our answer at this stage]
If the two probabilities fully overlap then we have ((0.25) + 10) + x = 1, where now x is probability(max.) of her working the entire day.
\(\implies x_{max} = 0.65\)

Answer C.
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Can we do like this?

Not late= 0.75
Not leaving early= 0.65

Thus, full working day= not late percent of not leaving early i.e. 0.75*0.65 ( 75% of 65%)
= 0.4875 (48.75%)

Thus, option C.

Am I doing it right?
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ronaldoSuiiii
Can we do like this?

Not late= 0.75
Not leaving early= 0.65

Thus, full working day= not late percent of not leaving early i.e. 0.75*0.65 ( 75% of 65%)
= 0.4875 (48.75%)

Thus, option C.

Am I doing it right?
ronaldoSuiiii
Don't you think all the option fulfil the criteria you are applying. How only C is the answer??
P is some range which is what we need to establish. I guess you missed in that part.

Please check.
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ronaldoSuiiii
Can we do like this?

Not late= 0.75
Not leaving early= 0.65

Thus, full working day= not late percent of not leaving early i.e. 0.75*0.65 ( 75% of 65%)
= 0.4875 (48.75%)

Thus, option C.

Am I doing it right?
ronaldoSuiiii
Don't you think all the option fulfil the criteria you are applying. How only C is the answer??
P is some range which is what we need to establish. I guess you missed in that part.


Thanks yeah.

Please check.
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This feels a lot more like a maximizing set question than a probability question.
Say there were total 100 days
We can consider two scenarios here:
case 1: where she is late P(L) and days when she leaves early P(E) are separate days ie. there is no overlap:
P(E)+P(L)=35+25=60 days

so the remaining good days are 100-60= 40 perfect days.

case 2: when she is late and also left early on the same day:
the 35 days when she came late is the max boundary here which also contains the 25 days when she also left early.
this leaves us with 65 perfect days.

So the perfect day range is 40<=P<=65 so option C

Bunuel
Ms Li works at an office where the work timing is from 9:00 AM to 6:00 PM. 25% of a year she goes late to office and 35% of a year she leaves early from office. If P is the probability that she works at office the entire working day then

A. 0.25 ≤ P ≤ 0.35
B. 0.25 ≤ P ≤ 0.65
C. 0.4 ≤ P ≤ 0.65
D. 0.35 ≤ P ≤ 0.4
E. 0.1 ≤ P ≤ 0.6
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