whats the meaning accurately expected results and actual results
Actual research provides usable results - which will prove or disprove the theory.
By repeating the experiment and getting the same results it validates those results.
so that you can see actual results without any distabences
An assumption is something that you expect to be true even though it may not be. For example, you may assume that everyone who participates in a research study and completes a questionnaire will be honest in their responses. This is an assumption that you make as a researcher. If you were to assume that no one will be honest, then you probably wouldn't do the study because the results wouldn't be accurate. A limitation is something that you expect will impact the results. It's often a "negative" so-to-speak. For example, a limitation could be that only 10 out of 75 people you asked to participate in the study actual did. Since you have fewer numbers, the accuracy of the results is less than what you probably hoped for. So, an assumption is something you "assume" about the participants in the study or the study setting. A limitation is something that could or did occur that you need to come forward with and explain because it may influence the accuracy of the results of your study. Hope this helps.
The disadvantages of a virtual laboratory center around not getting an actual hands on experience. By being able to touch, feel, and smell things in an actual laboratory, you get a better feel for what you are doing. That cannot be duplicated in a virtual laboratory.
Marketing control is the process of taking actions or steps to bring the desired results and actual result closer. Many a times actual marketing results deviate from the expected results due to the change in the government regulation or change in competitors strategy and likewise. An efficient and effective marketing control system can help in detecting such deviations and take suitable and appropriate measures to control them.
Controlling
D. Interpreting Results
Actual results divided by your expected results. Subtract that number from 1. Multiply that by 100. For example: Actual result : 9 grams Expected result: 10 grams 9/10 = .9 1 - .9 = .1 .1 x 100 = 10 10% error.
Depending on whether you subtract actual value from expected value or other way around, a positive or negative percent error, will tell you on which side of the expected value that your actual value is. For example, suppose your expected value is 24, and your actual value is 24.3 then if you do the following calculation to figure percent error:[percent error] = (actual value - expected value)/(actual value) - 1 --> then convert to percent.So you have (24.3 - 24)/24 -1 = .0125 --> 1.25%, which tells me the actual is higher than the expected. If instead, you subtracted the actual from the expected, then you would get a negative 1.25%, but your actual is still greater than the expected. My preference is to subtract the expected from the actual. That way a positive error tells you the actual is greater than expected, and a negative percent error tells you that the actual is less than the expected.
yes they can be changed!Scientific models change to reflect ongoing research to explain discrepancies in current theory versus actual experimental results.
False
True Apex ;)
false
However, if there is a material difference between the expected and actual balance, the auditor will investigate this difference further. At this point the auditor will develop an explanation for the difference.
Explain the core actual and augmented products of the educational experience that universities offer?
The expected outcome is Profit. But, the actual outcome may be different if the stock selected was poor.