Answer:
It measures the probability of observing your test statistic, assuming the null hypothesis is true.
Step-by-step explanation:
The p-value, also known as the probability value <u>measures the probability of observing your test statistic, assuming the null hypothesis is true.</u>
A low p-value means a higher chance of the null hypothesis to be true.
It lies between 0 and 1. A small p-value indicates fewer chances of the null hypothesis to be true.
Answer:
$1.5
Step-by-step explanation:
if each dozen cost $18, we need to divide.......18/12........because 12 is a dozen.
18/12 = 1.5
Kyle put "two" rectangles together to make this shape, so cut the shape into two. Then we know the bottom of one of the rectangles which is 16 is subtracted by 8 because half of 16 is 8 and 8 is one the measurements.
