Statistics

posted by .

What are the major differences between pratical and statistical significance?
Statistical significance means the oberved mean differences are not likely due to dimpling error.
Practical significance looks at wether the difference is large enough to be of value in a practical sence.
For example, it is like adding an ingredient to a car's oil to improve the efficiency of the fuel. There is a need to have a careful controlled experiment by measuring the efficiency of the fuel before and afer introducing the additive. The findings of the experiment is that the difference is that the difference before and after has a statistcally significatly better, and come to the conclusion that the additive does improve the deficiency of the fuel. In the other hand the ingrdient has a cost of $100 a bottle, which effectives the savings in the efficiency of the fel. The diver does not really drive very much, so the conclusion is there is not much practically significant.

Does this sound like I am on the right path?

  • Statistics -

    The idea is correct, but you need to proofread your post more adequately.

Respond to this Question

First Name
School Subject
Your Answer

Similar Questions

  1. Statistics:Significance Test and Confidence Interv

    Significance Test and Confidence Intervals In General: You are reading an article in your field that reports several statistical analyses. The article says that the P-value for a significance test is 0.045. Ifs the significant at the …
  2. statistics in health care

    What are the major differences between practical and statistical significance?
  3. Statistical Application

    What are the major differences between practical and statistical significance?
  4. statistics

    Give one example of when practical significance would outweigh statistical significance?
  5. Statistics

    What are the major differences between pratical and statistical significance?
  6. Statistics

    What are the major differences between pratical and statistical significance?
  7. statistics

    Provide three examples of when practical significance outweighs statistical significance?
  8. Statistics

    The notion of statistical significance is frequently used in business to distinguish between true and spurious between-group differences (such as a difference between the response rates to two different promotions). Hence, when the …
  9. statistikc

    We want a confidence interval for the mean IQ of all the 7th grade girls in that school district. We do not know the population standard deviation so we use the confidence interval that uses the t. In order to use the t-interval we …
  10. Statistics

    The interpretation of a test of significance can depend on the sample size and the practical context of the test. Write a short explanation of how sample size can affect the decision about statistical significance and whether or not …

More Similar Questions