Describe what would be a type I error and what would be a type
II error:...
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.
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...
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.
What is the difference between Type I and Type II error? How
does reducing the likelihood of committing one affect the
likelihood of committing the other when the rejection level is
adjusted either up or down from .05?
What is the difference between Type I and Type II error? How
does reducing the likelihood of committing one affect the
likelihood of committing the other when the rejection level is
adjusted either up or down from .05?
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)
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?