What does it mean to say that a particular result is
statistically significant at the .05 level or at the .01 level? Is
a result that is statistically significant at the .05 level
automatically also significant at the .01 level? What about the
reverse? Please explain your reasoning.
What does it mean for a hypothesis test to be statistically
significant? How is this different from our everyday notions of
“significant”? Make sure that you respond to your classmates as
well.
What do you think it means to say that a test is “statistically
significant”? How can saying this be used to strengthen inferences
drawn from such a test?
Can you think of an event that occurred in your personal or
professional life that required statistical significance? Share it
with your fellow students.
The result of a hypothesis test is said to be "statistically
significant" under all the following circumstances EXCEPT:
Group of answer choices
There is convincing evidence supporting the alternative
hypothesis.
The P-value is less than alpha.
The difference observed between the sample result and the
parameter value stated in the null hypothesis is important in the
real world.
The difference observed between the sample result and the value
stated in the null hypothesis is highly unlikely to be due to...
What does it mean when a researcher reports that their results
are “statistically significant”? In your own words, define
statistical significance. Provide at least one example to
illustrate what statistical significance looks like.