false positive - ANSWER can say you DO have what the test is looking
for when you really dont
false negative - ANSWER can say you dont have what the test is looking
for when you DO
sensitivity numerically - ANSWER 1- false negative
specificity numerically - ANSWER 1- false positive
specificity - ANSWER ability of screening tests to identify negatives as
negatives
sensitivity - ANSWER ability of screening tests to identify positives as
positives
A false negative is when the results from a hypothesis test suggest that
HO is true, when in fact HA is true. It is called _____________ in
statistical science. - ANSWER Type 2 Error Rate
A false positive is when the results from a hypothesis test suggest that
HA is true, when in fact HO is true. It is called _____________ in
statistical science. - ANSWER Type 1 Error Rate
If a hypothesis test gives a p-value of 0.67, then: - ANSWER we do not
have good evidence against the null
If a hypothesis test gives a p-value of 0.004, then: - ANSWER we do
have good evidence against the null
for when you really dont
false negative - ANSWER can say you dont have what the test is looking
for when you DO
sensitivity numerically - ANSWER 1- false negative
specificity numerically - ANSWER 1- false positive
specificity - ANSWER ability of screening tests to identify negatives as
negatives
sensitivity - ANSWER ability of screening tests to identify positives as
positives
A false negative is when the results from a hypothesis test suggest that
HO is true, when in fact HA is true. It is called _____________ in
statistical science. - ANSWER Type 2 Error Rate
A false positive is when the results from a hypothesis test suggest that
HA is true, when in fact HO is true. It is called _____________ in
statistical science. - ANSWER Type 1 Error Rate
If a hypothesis test gives a p-value of 0.67, then: - ANSWER we do not
have good evidence against the null
If a hypothesis test gives a p-value of 0.004, then: - ANSWER we do
have good evidence against the null
