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Translating quantifications in english refer to the questions in image below
Quantification is a statement that includes 'for all', 'there exists' etc. Two types of quantification exist. These are universal quantification and existential quantification.
The given quantification is
Here, the domain is the college students and
is a computer science major.
We write the given quantification verbally.
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- At the entrance to one of the residence halls on campus, the residents can choose to enter one of three doors. Custodians noticed that door #3 was frequently broken and suggested that more students used that door because it has a hands free mechanism. Students counted the number of students entering each door on a given day to see if the custodians were right. Use Chi-Square to determine if the custodians were right Door Students Entering 1 60 2 56 3 94urganrltThe five most common words appearing in spam emails are shipping!, today!, here!,available, and fingertips! (Andy Greenberg, “The Most Common Words In Spam Email,”Forbes website, March 17, 2010). Many spam filters separate spam from ham (email notconsidered to be spam) through application of bayes’ theorem. Suppose that for one emailaccount, 1 in every 10 messages is spam and the proportions of spam messages that havethe five most common words in spam email are given below.shipping! .051today! .045here! .034available .014fingertips! .014Also suppose that the proportions of ham messages that have these words areshipping! .0015today! .0022here! .0022available .0041fingertips! .0011a. If a message includes the word shipping!, what is the probability the message is spam?If a message includes the word shipping!, what is the probability the message is ham?Should messages that include the word shipping! be flagged as spam?b. If a message includes the word today!, what is the probability the…
- The five most common words appearing in spam emails are shipping!, today!, here!,available, and fingertips! (Andy Greenberg, “The Most Common Words In Spam Email,”Forbes website, March 17, 2010). Many spam filters separate spam from ham (email notconsidered to be spam) through application of bayes’ theorem. Suppose that for one emailaccount, 1 in every 10 messages is spam and the proportions of spam messages that havethe five most common words in spam email are given below.shipping! .051today! .045here! .034available .014fingertips! .014Also suppose that the proportions of ham messages that have these words areshipping! .0015today! .0022here! .0022available .0041fingertips! .0011a. If a message includes the word shipping!, what is the probability the message is spam?If a message includes the word shipping!, what is the probability the message is ham?Should messages that include the word shipping! be flagged as spam?b. If a message includes the word today!, what is the probability the…The five most common words appearing in spam emails are shipping!, today!, here!,available, and fingertips! (Andy Greenberg, “The Most Common Words In Spam Email,”Forbes website, March 17, 2010). Many spam filters separate spam from ham (email notconsidered to be spam) through application of bayes’ theorem. Suppose that for one emailaccount, 1 in every 10 messages is spam and the proportions of spam messages that havethe five most common words in spam email are given below.shipping! .051today! .045here! .034available .014fingertips! .014Also suppose that the proportions of ham messages that have these words areshipping! .0015today! .0022here! .0022available .0041fingertips! .0011a. If a message includes the word shipping!, what is the probability the message is spam?If a message includes the word shipping!, what is the probability the message is ham?Should messages that include the word shipping! be flagged as spam?Solve the following problem using Bisection Method and False PositionMethod. Using the format below for your answer tabulation:
- The five most common words appearing in spam emails are shipping! today! here! available, and fingertips! (Andy Greenberg, "The Most Common Words In Spam Email;' Fo1beswebsite, March 17, 2010). Many spam filters separate spam from ham (email not considered to be spam) through the application of the Bayes theorem. Suppose that for one email account, 1 in every 10 messages is spam and the proportions of spam messages that have the five most common words in spam email are given below. shipping! .051 today! .045 here! .034 available .014 fingertips! .014 Also suppose that the proportions of ham messages that have these words are shipping! .0015 today! .0022 here .0022 available .0041 fingertips! .0011 If a message includes the word shipping! what is the probability the message is spam? If a message includes the word shipping!, what is the probability the message is ham? Should messages that include the word…Find b such that 421b =1191 and do not use guess and checkPLEASEEE DO THIS FASTT AND PLEASEE DO SHOW WORK BUT SHOW LITTLE WORK NOT ALOT OF WORK AND PLEASEE SHOW WORK ONLY ON ONE PAPER PAGE WITH CLEAR HANDWRITING