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.
Answer: 3x^3 - 3x^2 - 4x - 4
Explanation:
(x - 2)(3x^2 + 3x + 2)
= x(3x^2 + 3x + 2) - 2(3x^2 + 3x + 2)
= 3x^3 + 3x^2 + 2x - 6x^2 - 6x - 4
= 3x^3 - 3x^2 - 4x - 4
It can be the last one, 827 over 1120
Hope that helps
Answer:
Hi there
Your answer is
40 ounces
Step-by-step explanation:
1lb = 16oz
2.5lbs = xoz
1lb = 16oz
*2.5
2.5lbs = 40oz
