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.
The only numbers I could think of would be 1, 2, and 4 because 4 is greater than 3 (2+1) and four times greater than 1 (2-1)
use distributive property
0.5 x -10 = -5
0.5 x k = 0.5k
0.5(-10 + k) = 0.5k -5
Answer: The equation is 16g+6 ,lmk if you need the answer :)
Step-by-step explanation:
Answer:
n>9
Step-by-step explanation:
4(n-3)- 6 > 18
To solve this inequality we need to remove the parenthesis
distribute 4 inside the parenthesis
4n -12 - 6 > 18
Now combine like terms
4n - 18 > 18
We need to isolate 'n', so we add 18 on both sides
4n > 36
Now divide both sides by 4
n > 9
So the value of n is greater than 9
