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:
7. 22 2/5 8. 10 8/10
Step-by-step explanation:
7. 7x3=21 + 7x1/5= 22 2/5
8. 2x5=10 + 2x4/10= 10 8/10
Answer:
-21=24
Step-by-step explanation:
Subtract 24 from 3
-21=8+2^2
Raise 4 to the power of 2
-21=8+16
Add 8 and 16
-21=24
Answer: it’s the first 1
Step-by-step explanation:
Answer:
The missing segment length is 20.
Step-by-step explanation:
2 is multiplied by 4 to get to 8, so 5 must be multiplied by 4 to get to 20.