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
Making a prediction in a controlled experiment helps establish a clear hypothesis, which guides the experimental design and methodology. It allows researchers to anticipate the expected outcome based on prior knowledge or theory, facilitating comparisons between predicted and actual results. This process enhances the understanding of the relationships between variables and can help identify potential errors or areas for further investigation. Additionally, predictions foster critical thinking and scientific reasoning.
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.
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.
This process is known as performance monitoring or performance evaluation. It involves analyzing actual operating results against planned or expected results to assess the efficiency and effectiveness of business operations.
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.
Expected results can arise from both chance and mathematical calculations. In probabilistic contexts, expected values are calculated using mathematical formulas based on probabilities and outcomes. However, in experimental settings, observed results may also reflect random variations or chance. Therefore, while mathematical methods provide a framework for predicting expected results, actual outcomes can be influenced by stochastic factors.
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.
When a four-colored spinner is spun 75 times, the results can vary widely depending on chance. Each color has an equal probability of being selected, assuming the spinner is fair. Over many spins, we would expect each color to appear approximately 18-19 times, but actual results may deviate due to random variation. This experiment illustrates the principles of probability and expected outcomes in a random process.
True. Accuracy refers to the degree to which a measured or calculated value aligns with the true or expected value. It assesses the correctness of the results in relation to the actual standard or benchmark. Therefore, a higher accuracy indicates a closer match to the true value.
In actuarial valuation, experience gain or loss refers to the difference between the actual experience of a group of policyholders (such as mortality rates) and the expected experience based on the assumptions used in the valuation. If the actual experience is better than expected, it results in experience gain, and if it is worse, it leads to experience loss. These gains or losses impact the financial results and reserves of an insurance company.
An expected result refers to the anticipated outcome of a specific action, experiment, or process based on prior knowledge, theories, or data. It serves as a benchmark against which actual results can be compared to evaluate effectiveness or accuracy. In scientific research, expected results help guide hypotheses and inform interpretations of data. Ultimately, they assist in understanding whether a particular approach or intervention achieves the desired effect.
yes they can be changed!Scientific models change to reflect ongoing research to explain discrepancies in current theory versus actual experimental results.
False