(a) What is the relationship of the p-value and hypothesis
testing?
(b) What is a p-value threshold of 0.05 mean? (in words)
(c) Why do you think that a p-value of 0.05 is used so often as a
threshold? What is a situation when that value would be too large
(i.e. a value much lower than 0.05 should be used)?
(a) What is the relationship of the p-value and hypothesis
testing?
(b) What is a p-value threshold of 0.05 mean? (in words)
(c) Why do you think that a p-value of 0.05 is used so often as
a threshold? What is a situation when that value would be too large
(i.e. a value much lower than 0.05 should be used)?
Hypothesis testing terminology
a. Level of Significance
d. Power
g. Test Statistic
b. Alternative Hypothesis
e. Effect Size
h. Type I Error
c. Null Hypothesis
f. Type II Error
i. Significant Effect
Match each of the following descriptions with its corresponding
term from the list above. Enter the letter corresponding to the
correct term in the blank.
A mistake researchers can make when they don’t conclude, for
example, that a treatment has an effect when it actually does
The hypothesis...
6. The power of a test in hypothesis testing is given by:
Select one:
a. 1+ß
b. 1-ß
c. (1+ß)/ ( 1-ß)
d. 1/ß
7. The power of a test in hypothesis testing is given by:
Select one:
a. 1+ß
b. 1-ß
c. (1+ß)/ ( 1-ß)
d. 1/ß
8. Which of the following is a disciplined procedure for
systematic evaluation of the impact of potential failures and
thereby determining a priority of possible actions that will reduce
the occurrence of...
Explain the procedure
for testing a hypothesis using the P-value approach? What is the
criterion for judging whether to reject the null hypothesis?
6. What does the level
of significance represent in a test of hypothesis? Give an
example.
7. Explain the
difference between "accepting" and "not rejecting" a null
hypothesis.
The p-value method for hypothesis testing relies on the
fact that
if the null hypothesis is false, then it is very unlikely to
observe a p-value smaller than the chosen significance
level.
if the null hypothesis is true, then it is very unlikely to
observe a p-value larger than the chosen significance
level.
if the null hypothesis is true, then it is very unlikely to
observe a p-value smaller than the chosen significance
level.
if the alternative hypothesis is true,...
Consider the following research hypothesis and the p-value
obtained via a statistical test. Would this testing have involved
one-sample or two-sample hypothesis testing? Does the scenario
involved paired or independent samples? Assuming the appropriate
testing was used, what would be an appropriate conclusion to draw
given the reported results and p-value?
Explain the reasoning for your answers.
The hypothesis is that students who are familiar with the Theory
of Algorithms learn the programming language C++ faster than
students who are...
Consider the following research hypothesis and the p-value
obtained via a statistical test. Would this testing have involved
one-sample or two-sample hypothesis testing? Does the scenario
involved paired or independent samples? Assuming the appropriate
testing was used, what would be an appropriate conclusion to draw
given the reported results and p-value? Explain the reasoning for
your answers.
The hypothesis is that students who are familiar with the Theory
of Algorithms learn the programming language C++ faster than
students who are...
Consider the following research hypothesis and the p-value
obtained via a statistical test. Would this testing have involved
one-sample or two-sample hypothesis testing? Does the scenario
involved paired or independent samples?
Assuming the appropriate testing was used, what would be an
appropriate conclusion to draw given the reported results and
p-value?
Explain the reasoning for your answers.
The hypothesis is that students who are familiar with the Theory of
Algorithms learn the programming language C++ faster than students
who are...
Explain how a hypothesis testing for a mean is similar to a
hypothesis test for a proportion. Then explain how z-test for a
mean is different than a t-test for a mean.