Bayes' rule can be used to identify and filter spam emails and text messages. this question refers to a large collection of real sms text messages from participating cellphone users.1 in this collection, 747 of the 5574 total messages () are identified as spam. the word "text" (or "txt") is contained in of all messages, and in of all spam messages. what is the probability that a message is spam, given that it contains the word "text" (or "txt")?

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what is the image?

answer: city needs 2.4 inches of rainfall more to match the record of 40 inches.

step-by-step explanation:

since we have given that

total annual rainfall a city record = 40 inches

this year, total rainfall recorded = 37.6 inches

number of inches of rainfall   is needed to match the record of 40 inches is given by

hence, city needs 2.4 inches of rainfall more to match the record of 40 inches.

step-by-step explanation:

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