Answer:
Option B - False
Step-by-step explanation:
Critical value is a point beyond which we normally reject the null hypothesis. Whereas, P-value is defined as the probability to the right of respective statistic which could either be Z, T or chi. Now, the benefit of using p-value is that it calculates a probability estimate which we will be able to test at any level of significance by comparing the probability directly with the significance level.
For example, let's assume that the Z-value for a particular experiment is 1.67, which will be greater than the critical value at 5% which will be 1.64. Thus, if we want to check for a different significance level of 1%, we will need to calculate a new critical value.
Whereas, if we calculate the p-value for say 1.67, it will give a value of about 0.047. This p-value can be used to reject the hypothesis at 5% significance level since 0.047 < 0.05. But with a significance level of 1%, the hypothesis can be accepted since 0.047 > 0.01.
Thus, it's clear critical values are different from P-values and they can't be used interchangeably.
Y=4x+7
So 4 is the rate of change because if you solve for y, x is the rate of change
Answer:
A
Step-by-step explanation:
because it is probability
2. 11 2/16 that’s for answers number 2
Answer:
Value of equation = 144
Step-by-step explanation:
Given:
5g + 7g + g(5 + 7)
when g = 6
Find:
Value of equation
Computation:
5g + 7g + g(5 + 7)
5g + 7g + g(12)
5(6) + 7(6) + (6)(12)
30 + 42 + 72
Value of equation = 144
