Answer:p=qbecause they are the same
Step-by-step explanation:
Square: 1, 9
even: 2, 6, 8, 10, 12
both: 4
Answer:
Probability of Type 1 error = 0.033
Probability of type II error = 0.952
Step-by-step explanation:
H0: Individual does not have disease
H1: individual has disease
Type 1 error occurs when we fail to accept a correct null hypothesis and accept an alternate Instead
Type ii error occurs when we accept a false null hypothesis instead of the alternate hypothesis
Probability of people with disease = 98.4%
Probability of people without disease = 3.3%
1.probability of type 1 error = 3.3/100
= 0.033
2. Probability of type ii error = (1-98.4%) = 1-0.948
= 0.052
Dilations stretch or shrink a pre-image. A scale factor greater than 1 will produce an enlargement of the pre-image, and a scale factor less than 1 will produce a reduction of the pre-image. If the scale factor is 1 the pre-image and the image are congruent.
The scale factor between 0 and 1 would result in a dilation that is a reduction.