I can’t see the numbers clear ?
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: 1. A
2.C
3.D
4.C
5.D
Step-by-step explanation:
Answer:
0.8
Step-by-step explanation:
We can solve P(A or B) by using the following:
Since we know P(A) = 0.6, P(B) = 0.3 and P(A and B) = 0.1 we obtain:
