Read what the statements are all claiming
P(B∣A)=n(A)n(A∩B) Every option is a conditional probability. Each one names the group the worker is known to be in, and then asks how likely it is that the worker is in a second group as well. So each is a count from inside the first group, divided by the size of that group.
Work out the denominator of the true statement
n(in A)=25 The condition is that the worker is in A. There are 25 of them, so 25 is the size of the restricted universe.
Work out the numerator of the true statement
n(in A∩in B)=10 Of those 25, exactly 10 are in B as well.
Form the fraction and simplify
2510=52 So the true statement is the one that gives this probability as 52.
Refute the statement that quotes the transposed conditional
2210=115=52 115 is the same 10 divided by the 22 in the SECOND group. That is the probability the other way round. Conditioning on the first group means dividing by 25, not 22, so that statement is false.
Refute the statement that quotes the joint probability
5010=51=52 51 is 10 out of the whole survey of 50. That is the probability of landing in both groups with nothing assumed — it ignores the condition completely.
Refute the statement with the two groups swapped over
P(in A∣in B)=2210=115=52 This option turns the condition round and then still quotes 52. Conditioning the other way divides by 22 and gives 115, so the statement is false. P(A∣B) and P(B∣A) are different numbers.
Refute the statement that quotes the complement
1−52=53=52 53 is the probability of the OPPOSITE outcome inside the same restricted universe: the 15 of the 25 that are not in B.
Do NOT transpose the conditional
P(in A∣in B)=2210=115=52 Turning the condition round asks a different question. The numerator is the same 10 workers — the overlap does not care which way round you read it — but the denominator becomes the 22 workers who are in B, giving 115. P(A∣B)=P(B∣A).
Compare with the unconditional probability
P(in B)=5022=2511 Out of everybody, 2511 of the workers are in B. Restricting to the workers who are in A makes it 52 — different from the unconditional probability, so the two events are not independent.
Test independence by exact arithmetic
10×50=500,25×22=550 Independence means n(A∩B)×N=n(A)×n(B). Compare 500 with 550: the events are not independent. Never judge this by eye — the two products settle it exactly.
The opposite event, in the same restricted universe
1−52=53=2515 Of the 25 workers the condition leaves you with, 15 are not in B. The universe has not moved, so the two conditional probabilities still add to 1.
Check with the multiplication rule
5025×2510=5010 P(A)×P(B∣A)=P(A∩B). The 25 cancels, leaving 10 out of 50 — the overlap count, straight off the diagram. The conditional probability is consistent.
Note the mistake to avoid
denominator=25=50 Dividing by 50 here would ignore the condition entirely. The word "given" has already removed 25 workers from the sample space; only 25 remain.
State the answer
So the correct statement is the one giving the probability as 52.