1. For a result to be statistically significant means that the probability of the results observed been due to chance is very low or impossible. For a result to be statiscally significant means that the differences observed between the experimental group and the control group of the experiment is not due to chance or sampling errors.
Practical significance refers to how practical it is to convert a result observed in the laboratory to use in real world scenario. The difference observed between two variables in an experimental set up may be so small that it may not be worth it to produce it on a large scale for human use.
Thus, the difference between statistical and practical significance is that statistical significance indicates the difference between two variables while practical significance determines if the results is worth been reproduce on large scale.
2. YES, a treatment can have statistical significance but have no practical significance. This means that, even though the treatment is effective, due to some reasons it is not worth it or practical to produce it on a large scale.
Explanation:
The preparation of the retained earnings statement for the year ended December is presented below:
Culver Corporation
Retained Earning statement
For the year ended December 31, 2017
Beginning balance of retained earning $718,500
Add: Correction recorded $86,470
Add: Net income $1,596,000
Less: Cash Dividend paid -$80,500
Ending balance of retained earning $2,320,470
The answer to your question is B
Answer: Maximize profits
Explanation: The basic assumption an economist make is that the owners of a firm always works with the intent of maximizing their profits. As per this approach, the producers in the market determine their prices, inputs and outputs in such a way that it leads to highest profits.
Hence, from the above we can conclude that the right option is C.
