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:
Step-by-step explanation:
x^2 + x + 1 - 2x + 5
x^2 - x + 6
It depends on what the shape is
Answer:
57
Step-by-step explanation:
when you divide both of the answers you get 57 and I'm 98 percent positive it's correct
Answer:
no
Step-by-step explanation:
ni
nni
n
