Explain statistical significance using the standard we accept in
research today. Explain how something can be...
Explain statistical significance using the standard we accept in
research today. Explain how something can be significant but not
practically important with an example
1. What is the difference between practical significance and
statistical significance? Give an example of something that might
be statistically significant, but not practically significant.
2. What is a Type I error? Give an example.
3. What is a Type II error? Give an example.
What does statistical significance mean? How do you know if
something is statistically significant? What is the difference
between statistical significance and practical significance?
What is Statistical Significance? Date 01/29/2019
What is statistical significance? If we randomly assign
subjects to two groups we would expect there to be some difference
in the groups just by chance. If a difference is statistically
significant then it is large enough that we would not expect it to
happen just by chance. When we compare the results of an
experiment, if there is a statistically significant difference then
we can conclude that there is a cause-effect relationship between...
Research Method
What is the difference between statistical significance and
clinical significance? Search the literature and cite at least one
or two examples that illustrate the differences between the
two.
When carrying out hypothesis testing using statistical methods,
we are trying to infer something about what’s going on in a
population, based on what’s going on in a random sample from that
population. If we want to learn about the population mean annual
spending by households on video games, describe a hypothesis
testing procedure for testing the hypothesis that this spending
level equals 100 dollars.
Explain the notions of mathematical differences, managerially
relevant differences, and statistical significance. Can results be
statistically significant and yet lack managerial importance?
Explain your answer.
A retailer is interested in investigating whether doubling the
value of manufacturer coupons will increase the number of shoppers.
“Doubling” means that the store would give consumers a discount
equal to twice the coupon face value, with the retailer absorbing
the cost of the extra discount. Write the null and alternative
hypotheses associated with this...
Conceptually, what are we doing when we test for statistical
significance (such as in a z-test or t-test)? Where does the
commonly used 95% confidence level come from? What is an effect
size and what additional information does it provide about a
finding?