Define Type I error and Type II error. Explain why both ‘‘false
positive’’ and ‘‘false negative’’ should be avoided in the analysis
and monitoring of environmental contaminants?
Describe what would be a type I error and what would be a type
II error:
A restaurant claims more than 42% of its new patrons return at
least once within a month.
Please provide an example of both a Type I Error and
Type II Error. Why is it that increasing the sample size reduces
the probability of a Type II error to an acceptable level. Please
discuss.
A Type I error is a greater concern than a Type II error. Agree
or disagree with this statement and use examples to support your
position. Choose a classmate with an opposing view and try to
respectfully persuade them to your point of view.
State the
hypotheses. Describe a Type I and Type II error in the context of
the problem and a consequence of each. Determine which type is most
serious. State whether alpha should be set high or low (based on
whether or not you feel a Type I error is the most serious or
not).
The state of Georgia
is considering spending $350 million on a computerized mathematics
curriculum that for grades 3 – 10. They pilot the program with 250...
For these discussion questions:
Define Type I and Type II error and explain their importance in
statistical research (5 points).
Discuss the use of directional and non-directional hypotheses.
How do we make the decision to use directional or non-directional
tests? (5 points)
Increasing the significance level of a test increases the
probability of a Type II error.
aTrue bFalse c Not sure
The larger the population variance, the higher the power of the
test.
a True b False c Not sure
The larger the sample size, the greater the power of the test
with everything else being equal.
a True b False c Not sure
Explain the relationship between Type I error and Type II error
in a hypothesis test.