Two key concepts in hypothesis testing are the null
and the alternative hypothesis. Formulating the hypothesis test in
the right manner, i.e. by correctly formulating null and
alternative hypothesis is the first step towards solving the
problems in the right manner.
How do we represent these concepts tl (i.e. what abbreviation we
use to denote null and alternative hypothesis)?
In
your own words, describe what you have learned about hypothesis
testing and hypothesis testing for the mean. Give one or more
examples of how you could use this information to test a problem.
Be specific on what the problem would be about.
Pick three of the key terms that appears and briefly discuss it
using your own words. Your response must consist of at least three
sentences.
Key Terms:
Administrative expense budget
Budget committee
Budget director
Budgetary slack
Budgets
Capital expenditures budget
Cash budget
Continuous budget
Control
Controllable costs
Direct labor budget
Direct materials purchases budget
Dysfunctional behavior
Effectiveness
Efficiency
Ending finished goods inventory budget
Feature costing
Financial budgets
Flexible budget
Flexible budget variances
Goal congruence
Incentives
Incremental approach
Marketing expense budget...
(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)?
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,...
discuss about different methods of decision making with
hypothesis testing (p value, critical value and confidence
interval) and which one you prefer to use on discussion board