Counting and Probability: Determine product efficacy

In summary, out of 50 subjects, 41 reported relief from at least one drug, with 9 not reporting relief from any drug. 35 subjects reported relief from all three drugs, and 4 reported relief from A only.
  • #1
logicaljoe
2
0
Three drugs: A, B and C

50 subjects reported relief from:

21 drug a
21 drug b
31 drug c

9 a&b
14 a&c
15 b&c

41 report relief from at least one drug

Note that some of the subjects who reported results from A might have done so for B and C etc.

a. How many got relief from none of the drugs?

I assume I use the difference rule here

50 - 41 = 9 subjects that didn't report any relief.

b. How many people got relief from all 3 drugs?

D[A intersection B intersection C] = 21 + 21 + 31 - 9 - 14 - 15 = 35

such that 41 - 35 = 6 The number of subjects relieved by all three drugs.

c. How many subjects got relief from A only?

I'm kind of unsure about this question.

D[A - (A intersection B) - (A intersection C)]

So how do I identify the specific users that have ticked in both a int b and a int c?

21 - 9 - 14 + 6 = 4

This is all I can think off.
 
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  • #2
Your answer to c is correct, except the formula should be D[A - (A intersection B) - (A intersection C) + (A intersect. B intersect. C)].
 

Related to Counting and Probability: Determine product efficacy

What is counting and probability?

Counting and probability is a branch of mathematics that deals with the study of determining the likelihood or chance of an event occurring based on the number of possible outcomes.

Why is it important to determine product efficacy?

Determining product efficacy is important because it allows us to understand the effectiveness of a product and make informed decisions about its use. This can help save time, money, and resources by avoiding the use of products that may not be effective.

How do I calculate probability?

The probability of an event can be calculated by dividing the number of favorable outcomes by the total number of possible outcomes. For example, if there are 3 red balls and 7 blue balls in a bag, the probability of picking a red ball is 3/10 or 30%.

What is the difference between theoretical and experimental probability?

Theoretical probability is based on mathematical calculations and assumes that all outcomes are equally likely to occur. Experimental probability is based on actual observations and outcomes from an experiment.

How can probability be used in real-world scenarios?

Probability can be used in real-world scenarios to make predictions, assess risk, and make informed decisions. It can be applied in a variety of fields such as finance, insurance, sports, and medicine.

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