English
English, 24.09.2019 12:30, TeenageKicks9800

Planning for an essay test is just as important as how you write the essays during the test. true or false.

answer
Answers: 2

Similar questions

Предмет
Computers and Technology, 16.07.2019 22:20, azinanees
The following application of bayes rule often occurs in actual medical practice. suppose you have tested positive for a disease. what is the probability you actually have the disease? it depends on the sensitivity and specificity of the test, and on the prevalence (prior probability) of the disease. we’ll denote: a positive test as: test = pos a negative test as: test = neg presence of disease as: disease = true absence of disease as: disease = false we know from clinical studies done on the test before fda approval that the sensitivity and specificity of the test are: p (test = pos | disease = true) = 0.95 (true positive rate, or sensitivity) p (test = neg | disease = false) = 0.90 (true negative rate, or specificity) from which we can also deduce: p (test = neg | disease = true) = 0.05 (false negative rate) p (test = pos | disease = false) = 0.10 (false positive rate) we also know from public health surveys that the disease is relatively rare. the prevalence in the general population is: p (disease = true) = 0.01 from which we can deduce: p (disease = false) = 0.99 a) use bayes rule to calculate p (disease = true | test = pos), i.e. the probability you actually have the disease, given the test was positive. b) calculate the ratio p (disease = true | test = pos) / p (disease = true). [ in bayesian statistics, a ratio like this is interpreted as the effect of new evidence on our beliefs about a probability. in this case, we are concerned with the probability of disease, and the new evidence is the test result.]
Answers: 1
Do you know the correct answer?
Planning for an essay test is just as important as how you write the essays during the test. true or...

Questions in other subjects:

Konu
English, 20.11.2019 14:31