: The P-Value in your data output is ___________ Question 1 options: a) The prob

Question

: The P-Value in your data output is ___________

Question 1 options:
a)   The probability that you have a Type I error in your data  
b)   the alpha
c)   the critical value
d)   both the probability that you have a Type I error in your data and the alpha

Question 2:
When you are computing a one-sample t-test, you are comparing the mean of your sample with the mean of the population.

Question 2 options: a) True b) False

Question 3
When you find a significant difference between the means, it is important to explain that difference in the formal report.

Question 3 options: a) True b) False

Explanation / Answer

1. Rejecting the Null hypothesis when it is true is known as type I error. P-value represents this probability.

So option a) is the right answer  

2. The one-sample t-test compares the mean of the sample with a hypothetically assumed value which is the assumed value of population mean.

So the given statement is true. Option a) is correct.

3. When we find a significant difference between the means, we can accept or reject one of the hypothesis and that is sufficient for testing of the hypothesis, but it's prudent to analyse the reason for the wide difference between the means. So it's appropriate to explain the difference in a formal report.

Option a) is correct.

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