Complement question (statistics)

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In summary: On the other hand, the events "buying a tie" and "buying a shirt" are NOT disjoint; they can happen together (or not).In summary, the probability of a customer buying a suite is 0.22, a shirt is 0.3, and a tie is 0.28. There is a 0.11 probability of buying both a suite and a shirt, 0.14 probability of buying both a suite and a tie, and 0.28 probability of buying both a tie and a shirt. The probability of the customer buying nothing is 0.68, which is the complement of the probability of buying at least one item.
  • #1
lom
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"the probability to buy a suite is 0.22
the probability to buy a shirt is 0.3
the probability to buy a tie is 0.28
the probability to buy a suite and shirt is 0.11
the probability to buy a suite and tie is 0.14
the probability to buy a tie and shirt is 0.28

what is the probability that the customer will not by anything?"

i was told that the probability that the customer will not by anything
equals the complement of the probability that he buys at least 1 item
why?

as i see it to solve it we need to do
not buy a shirt AND not buy a tie AND not buy suite=
(1-0.11)*(1-0.14)*(1-0.1)=0.68

why am i wrong?
 
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  • #2
First, iN your approach you are assuming the choices are independent - they may not be.

Second, you are trying to find thechance JUST that group of 3 things; you haven't accounted for the purchase of a subset of them.

Think this way: either some item ispurchased or nothing is -those are complements.
 
  • #3
of course the choises are independent
a shirt differs from a tie etc..

"you are trying to find thechance JUST that group of 3 things; you haven't accounted for the purchase of a subset of them. "
and i don't want to encounter their purchase
thats why i am doing complement

i still can't see my mistake in this way.

i tried to think your way
so i need the complement of
"either some item is purchased"
so we have 7 combinations
to buy some thing
_ _ _

for example :
to buy a tie and a suite but not to buy a shirt

etc..

why not
not buy a shirt AND not buy a tie AND not buy suite=
(1-0.11)*(1-0.14)*(1-0.1)=0.68thats alot
is there easier way?
 
  • #4
lom said:
of course the choises are independent
a shirt differs from a tie etc..

"you are trying to find thechance JUST that group of 3 things; you haven't accounted for the purchase of a subset of them. "
and i don't want to encounter their purchase
thats why i am doing complement

i still can't see my mistake in this way.

i tried to think your way
so i need the complement of
"either some item is purchased"
so we have 7 combinations
to buy some thing
_ _ _

for example :
to buy a tie and a suite but not to buy a shirt

etc..

why not
not buy a shirt AND not buy a tie AND not buy suite=
(1-0.11)*(1-0.14)*(1-0.1)=0.68


thats alot
is there easier way?

IF the only two possibilities were to purchase all three items or to purchase nothing, your idea (not the calculation, as you don't know whether the choices to purchase the items are independent) would be correct.


However, there are more than two choices:

* purchase nothing
* purchase exactly one of the three items
* purchase exactly two of the three items
* purchase all of the items

Now do you see why, and where, your approach goes awry?
 
  • #5
why you think that those events are linked??

buying a tie is not buying a shirt?
 
  • #6
lom said:
why you think that those events are linked??

buying a tie is not buying a shirt?

You are confusing disjoint (events having nothing in common) with independent (a probability based idea).

The events "buy only a tie" and "buy only a shirt" are disjoint - there are no outcomes in common. THEY ARE NOT independent: if you tell me the person purchased a tie (and only a tie), then I know the probability they purchased a shirt is zero.
 

Related to Complement question (statistics)

1. What is a complement question in statistics?

A complement question in statistics is a type of question that asks for the opposite or negation of a given statement or event. It is used to gather information about the occurrence or non-occurrence of an event in a sample or population.

2. How is a complement question different from a direct question?

A direct question asks for specific information about a particular event or situation, while a complement question asks for the opposite of that information. For example, a direct question could be "What is the probability of getting heads on a coin toss?" while a complement question would be "What is the probability of not getting heads on a coin toss?"

3. What is the purpose of using complement questions in statistics?

The purpose of using complement questions in statistics is to gather a more complete understanding of the data being analyzed. By asking for the opposite of a given event, researchers can gain insight into the overall probability or likelihood of that event occurring.

4. How can complement questions be used in hypothesis testing?

In hypothesis testing, complement questions can be used to test the null hypothesis. The null hypothesis is the complement of the alternative hypothesis, and by gathering evidence against the null hypothesis, researchers can support the alternative hypothesis.

5. Can complement questions be used in different types of statistical analyses?

Yes, complement questions can be used in various types of statistical analyses, such as probability, hypothesis testing, and regression analysis. They are a versatile tool for gathering information and can be used in combination with other statistical methods to enhance data analysis and interpretation.

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