Answer:
jjjjjjjjjjjjjjj
Step-by-step explanation:
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:
-x/5 + 6/5
hope this helps!
Answer:
The first equation is a direct variation. This type of equation has a form that is "y = kx," in which k is the constant. Changing both sides by a common multiple will still lead to the equation being evaluated as true, since the values will both increase by that multiple.
Step-by-step explanation:brainlist?
