Please help with question D. Thanks 5. If you want to know how important spam filters are to your online experience, try turning themoff for a day. You'll quickly see why these tools we tend to take for granted are so essential.Generally speaking, a filtering solution applied to your email system uses a set of protocols todetermine which incoming messages are spam and which are not. What the filters checks oncan vary, but often they all do basically the same thing: scan header information for evidenceof malice, look up senders on blacklists of known spammers, and filter content for patterns thatpoint to junk mail.Suppose that a particular spam filter uses a points-based system in which various aspects of anemail trigger an accumulation of points – with 100 points being the maximum and stronglyindicating spam. So, more points for a particular email becomes stronger evidence that it isspam. After accumulating a sufficient number of points, the spam filter classifies the email asand it does not reach your inbox.spamThis process is similar to hypothesis testing in the following way for each email it reviews:Họ: The email is a real message (not spam)HA: The email is spamUsing the above hypothesis setting context, answer the following questions usinglanguage/terms we have covered related to hypothesis testing:a) When the filter allows spam to slip through into your inbox, which kind of error is that?Explain in terms of the hypotheses above.b) Which kind of error is it when a real (i.e., non-spam) email gets classified as spam and doesnot get to your inbox? Explain in terms of the hypotheses above.c) Suppose that this particular spam filter classifies spam as any email getting 50 points orhigher. However, you reset the filter to use 60 points or higher before classifying it as spam.Is that analogous to choosing a higher or lower alpha level for a hypothesis test. Explain interms of the hypotheses above.d) What impact does this change in the spam cutoff value have on the chance of each type oferror in hypothesis testing? Explain.

Name: Please help with question D. Thanks 5. If you want to know how importa
Uploaded: 2024-03-20T07:07:37.000Z
Channel: Bartleby
Description: Please help with question D. Thanks 5. If you want to know how important spam filters are to your online experience, try turning themoff for a day. You'll quickly see why these tools we tend to take for granted are so essential.Generally speaking, a

Here our hypothesis is that, H0: Not a spam v.s. HA: Email is spam. Now, we classify an email as a…

Answered: d) What impact does this change in the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Topic Video

Question

Please help with question D.

Thanks

5. If you want to know how important spam filters are to your online experience, try turning them
off for a day. You'll quickly see why these tools we tend to take for granted are so essential.
Generally speaking, a filtering solution applied to your email system uses a set of protocols to
determine which incoming messages are spam and which are not. What the filters checks on
can vary, but often they all do basically the same thing: scan header information for evidence
of malice, look up senders on blacklists of known spammers, and filter content for patterns that
point to junk mail.
Suppose that a particular spam filter uses a points-based system in which various aspects of an
email trigger an accumulation of points – with 100 points being the maximum and strongly
indicating spam. So, more points for a particular email becomes stronger evidence that it is
spam. After accumulating a sufficient number of points, the spam filter classifies the email as
and it does not reach your inbox.
spam
This process is similar to hypothesis testing in the following way for each email it reviews:
Họ: The email is a real message (not spam)
HA: The email is spam
Using the above hypothesis setting context, answer the following questions using
language/terms we have covered related to hypothesis testing:
a) When the filter allows spam to slip through into your inbox, which kind of error is that?
Explain in terms of the hypotheses above.
b) Which kind of error is it when a real (i.e., non-spam) email gets classified as spam and does
not get to your inbox? Explain in terms of the hypotheses above.
c) Suppose that this particular spam filter classifies spam as any email getting 50 points or
higher. However, you reset the filter to use 60 points or higher before classifying it as spam.
Is that analogous to choosing a higher or lower alpha level for a hypothesis test. Explain in
terms of the hypotheses above.
d) What impact does this change in the spam cutoff value have on the chance of each type of
error in hypothesis testing? Explain.

Expert Solution

Step 1

Here our hypothesis is that,

H₀: Not a spam v.s. H_A: Email is spam.

Now, we classify an email as a spam if it gets 50 points or higher. 100 points being the maximum, this means, our level of significance or alpha here is (1- 0.5) =0.5, and we reject the null hypothesis if the filter point is < 0.5. Otherwise, we accept it and the e-mail classifies as not a spam.

If we change the filter point to 60, then automatically the level of significance changes to (1-0.6) = 0.4 and we reject the null hypothesis if our probability is < 0.4, and claim that it is a spam. Otherwise we accept it and say that our e-mail is not a spam.

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Research Design Formulation$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions