For every person who actually has the flu, there are 6 persons who have flu-like symptoms resulting from a cold. If a doctor sees 40 patients, write and solve a proportion to determine how many of these you would expect to have a cold?

Answer 1

#34 2/7" "# This is an unexpected proportion. Is the question correct?
I suppose you could round this up to 35 people

Breaking the question down into component parts:

For every person #-> 1# There are #-> 1+?# 6 persons #-> 1+6#

Note that the question wording is very specific about the proportions.

It is declared that the number of people with flue like symptoms due to a cold is 6.

It is also declared that the corresponding number of people with genuine flue is 1

................................................................................

Combined count of people with genuine flue symptoms and those with flue like symptoms is 1 + 6 = 7

This gives the fractional proportion of #1/7# that probability suggests have flue.

Note that probability (statistics) is not certainty. It is a strong indicator.

So the expected proportion of genuine flue cases from 40 patients is: #1/7xx40#

Thus those that probably have a cold is

#(1-1/7)xx40" " ->" " 6/7xx40" "=" "34 2/7# people
#color(green)("You can not have "2/7" of a person so perhaps the counts of the ")##color(green)("people in the question are wrong.")#
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Answer 2

Proportion:

x/40 = 6/1

Solve for x:

x = (40 * 6)/1 = 240

Therefore, you would expect 240 of the 40 patients to have a cold.

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Answer from HIX Tutor

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

When evaluating a one-sided limit, you need to be careful when a quantity is approaching zero since its sign is different depending on which way it is approaching zero from. Let us look at some examples.

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