Answer:
d
Step-by-step explanation:
thats the answer i did it too
Answer:
The <em>p</em>-value of the test is 0.0512.
Step-by-step explanation:
The <em>p</em>-value of a test is well-defined as per the probability, [under the null hypothesis (H₀)], of attaining a result equivalent to or more extreme than what was the truly observed value of the test statistic.
In this case the output of the t-test_ind method from scipy module is provided as follows:
Output = (-1.99, 0.0512)
The first value within the parentheses is the test statistic value.
So the test statistic value is, -1.99.
And the second value within the parentheses is the <em>p</em>-value of the test.
So the <em>p</em>-value of the test is 0.0512.
Answer:
So the answer is v=112 sa=165
Step-by-step explanation:
Try using formulas such as 1
4h﹣a4+2(ab)2+2(ac)2﹣b4+2(bc)2﹣c4
and
A=12bh
The selling price would be 30$ how I got was a divided 20 by 60 and so 20 goes into 60 3times that’s how I got 30$
