Question 1118134: The P-Value in your data output is ___________
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
: When you are computing a one-sample t-test, you are comparing the mean of your sample with the mean of the population.
a) True b) False
When you find a significant difference between the means, it is important to explain that difference in the formal report.
a) True b) False
Answer by Boreal(15235)   (Show Source):
You can put this solution on YOUR website! alpha={probability reject Ho|Ho is true}, and that is fixed at the start. We use alpha to compare the p-value to.
This is a Type I error. If the p-value is 0.1, that means that we would get a result this extreme or more so in 10% of the trials assuming that there is no change. That would be a Type I error.
Critical values are of the test statistic and allow calculation of the p-value.
A one sample t-test does compare the mean of the sample to the mean of a population, which may not be known but is hypothesized. True/False is difficult here, because there are important assumptions, but this is basically true.
The last is true.
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