Give an example of a situation in which you believe a type i error is more serious than a type ii error. give an example of a situation in which you believe a type ii error is more serious than a type i error. in each case, why do you think so?

Type I error is also known as a "false positive" and type II error as "false negative."

Example of Type I being more serious: Suppose you have a banking app that gives access to an authenticated user to transactional capability. In order to authenticate the user, a biometric test is done. If the biometric test makes a Type I error and falsely tests the user as positive (correct user), then an imposter who just got in, can transfer money away from the account. Otoh, if a true user gets rejected (type II error), it is a nuisance but not as serious as the loss of money.

Example of Type II being more serious: Suppose you have an app where a doctors can access patients' blood types. In an emergency, a doctor that fails to gain access due to a Type II error (false negative) won't be able to help the patient until they get an additional test done, which can be a serious delay. In this case a false negative  is more costly than the problem of letting in an impostor (false positive).

first, we define the variables:

x: number of years after 1950

f (x): amount of vinyl sold.

then, with the variables defined, we have:

68594 vinyl records were sold in 1958 > f (8) = 68594

91299 vinyl records were sold in 1961 > f (11) = 91299

38720 vinyl records were sold in 1952 > f (2) = 38720

161743 vinyl records were sold in 1967 > f (17) = 161743

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step-by-step explanation:

step-by-step explanation:

use pothagarean therom

a^2+b^2=c^2 so first ac

acm is a right triangle because c= 90°

and am (the hypotenuse or c) =16+9 =25

but there is not enough info we need another angle or side length