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.
So 280=1.4x so 280/1.4 is 200 .7*200 is 140 so $140
Least 1.2, 1.26, 1.3 greatest
Im not sure but i think its d
12*11*10 ways
your welcome
Ps its 1320
