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Spell-checking Spell-checking software catches 鈥渘onword errors,鈥 which result in a string of letters that is not a word, as when 鈥渢he鈥 is typed as 鈥渢eh.鈥 When undergraduates are asked to write a 250-word essay (without spell-checking), the number Y of nonword errors in a randomly selected essay has the following probability distribution

Part (a). Write the event 鈥渙ne nonword error鈥 in terms of Y. Then find its probability.

Part (b). What鈥檚 the probability that a randomly selected essay has at least two nonword errors?

Short Answer

Expert verified

Part (a) 20%

Part (b) 70%

Step by step solution

01

Part (a) Step 1. Given information.

Value yi01234
Probability pi0.1??0.30.30.1
02

Part (a) Step 2. The event “one nonword error” in terms of Y. 

Let us refer to the missing probability as x.

Value xi01234
Probability pi0.1x0.30.30.1

Y represents the number of nonword errors in a randomly chosen essay, implying that "one nonword error" is represented by "Y = 1."

If all probabilities are between 0 and 1, the probability distribution is valid (including).

The total of the probabilities of each outcome equals one.

This implies that the sum of all probabilities in the preceding table must equal 1.

0.1+x+0.3+0.3+0.1=10.8+x=1

Take 0.8 off each side

role="math" localid="1653985297341" x=1-0.8x=0.2

We can see in the table above that x represents the probability that Y is equal to 1.

PY=1=0.2PY=1=20%

03

Part (b) Step 2. The probability that a randomly selected essay has at least two nonword errors. 

If two events cannot occur at the same time, they are disjoint or mutually exclusive.

Addition rule for events that are disjoint or mutually exclusive:

P(AUB)=P(A)+P(B)

Value x101234
Probability pi0.1x0.30.30.1

In the above table, we can calculate the probability of 0, 2, 3, and 4 nonword errors are:

role="math" localid="1653985957678" P(Y=2)=0.3P(Y=3)=0.03P(Y=4)=0.1

The two events are mutually exclusive because it is not possible to obtain two different numbers of nonword errors for the same piece of text.

For mutually exclusive events, apply the addition rule.

P(Y2)=P(Y=2)+P(Y=3)+P(Y=4)P(Y2)=0.3+0.3+0.1P(Y2)=0.7P(Y2)=70%

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Most popular questions from this chapter

Benford鈥檚 law Faked numbers in tax returns, invoices, or expense account claims often display patterns that aren鈥檛 present in legitimate records. Some patterns, like too many round numbers, are obvious and easily avoided by a clever crook. Others are more subtle. It is a striking fact that the first digits of numbers in legitimate records often follow a model known as Benford鈥檚 law. 4 Call the first digit of a randomly chosen legitimate record X for short. The probability distribution for X is shown here (note that a first digit cannot be 0).

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