# The probability that Tara receives spam e-mail is 15 percent. If she receives 80 e-mails in a week, about how many of them can she expect to be spam?

She can expect to receive 12 e-mails that are spam.

Convert 15% to a decimal by dividing the percentage by 100.

Multiply 80 e-mails by 0.15.

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15% of 80 emails can be found by multiplying 80 by 0.15To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

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15% of 80 emails can be found by multiplying 80 by 0.15:

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15% of 80 emails can be found by multiplying 80 by 0.15:

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We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receivingTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

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We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (whichTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% orTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 =To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or 0To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or 0.To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 \To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or 0.15To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or 0.15).

To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

SoTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or 0.15).

SoTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So,To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

We can calculate this by multiplying the total number of emails Tara receives in a week (which is 80) by the probability of receiving spam emails (which is 15% or 0.15).

So,To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, TaraTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, theTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara canTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the numberTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expectTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number ofTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect toTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spamTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receiveTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emailsTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximatelyTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails TaraTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara canTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expectTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spamTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect toTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emailsTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receiveTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emails inTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receive isTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emails in aTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receive is:

To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emails in a weekTo find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receive is:

[To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emails in a week.To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receive is:

[ \To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emails in a week.To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receive is:

[ \textTo find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, Tara can expect to receive approximately 12 spam emails in a week.To find out how many spam emails Tara can expect to receive, we use the probability of receiving spam emails, which is 15%.

So, the number of spam emails Tara can expect to receive is:

[ \text{To find out how many spam emails Tara can expect to receive in a week, we first need to calculate 15% of the total number of emails she receives.

15% of 80 emails can be found by multiplying 80 by 0.15:

( 80 \times 0.15 = 12 ).

So, the number of spam emails Tara can expect to receive is:

[ \text{Number of spam emails} = \text{Total number of emails} \times \text{Probability of receiving spam emails} ]

[ = 80 \times 0.15 ]

[ = 12 ]

Therefore, Tara can expect to receive about 12 spam emails in a week.

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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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