Stats 119 Test 2
If we are attempting to expose that a populace imply has changed, then this take a look at is: -
ANS-Two sided
If we try to reveal that a populace imply has multiplied, then this test is: - ANS-Right sided
Normally Distributed Use... - ANS-Z chart and ϕ (phi)
P-price - ANS-How rare records is given Ho is genuine
Power - ANS-Probability that we stumble on Ha whilst it's far true
Opposite of kind 2 mistakes
Suppose that we are going to sample data from a everyday distribution with a median of forty
and a popular deviation of three.
A) If our pattern - ANS-
Suppose that we're trying out Ho: The medicinal drug has no price vs. Ha: The medication has
value. Describe Type I Error - ANS-The medication has no cost and we conclude that it does
have value.
Suppose that we're trying out Ho: The medication has no cost vs. Ha: The medicinal drug has
price. Describe Type II Error - ANS-The remedy has fee and we conclude that it has no value.
Suppose that we are testing Ho: The medicinal drug has no price vs. Ha: The medication has
fee. If we dedicate a Type I Error, could we probable hit upon the mistake? - ANS-No
Suppose that we are checking out Ho: The medication has no fee vs. Ha: The medicinal drug
has fee. If we devote a Type II Error, could we in all likelihood detect the error? - ANS-Yes
Tire Problem Formula-Normal Distribution - ANS-possibility that given# greater than or less than
(n-suggest/s)
use z chart
True or False: A small p-value means that we are able to possibly Fail to Reject Ho. -
ANS-False
If we are attempting to expose that a populace imply has changed, then this take a look at is: -
ANS-Two sided
If we try to reveal that a populace imply has multiplied, then this test is: - ANS-Right sided
Normally Distributed Use... - ANS-Z chart and ϕ (phi)
P-price - ANS-How rare records is given Ho is genuine
Power - ANS-Probability that we stumble on Ha whilst it's far true
Opposite of kind 2 mistakes
Suppose that we are going to sample data from a everyday distribution with a median of forty
and a popular deviation of three.
A) If our pattern - ANS-
Suppose that we're trying out Ho: The medicinal drug has no price vs. Ha: The medication has
value. Describe Type I Error - ANS-The medication has no cost and we conclude that it does
have value.
Suppose that we're trying out Ho: The medication has no cost vs. Ha: The medicinal drug has
price. Describe Type II Error - ANS-The remedy has fee and we conclude that it has no value.
Suppose that we are testing Ho: The medicinal drug has no price vs. Ha: The medication has
fee. If we dedicate a Type I Error, could we probable hit upon the mistake? - ANS-No
Suppose that we are checking out Ho: The medication has no fee vs. Ha: The medicinal drug
has fee. If we devote a Type II Error, could we in all likelihood detect the error? - ANS-Yes
Tire Problem Formula-Normal Distribution - ANS-possibility that given# greater than or less than
(n-suggest/s)
use z chart
True or False: A small p-value means that we are able to possibly Fail to Reject Ho. -
ANS-False
