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To make an experiment more accurate, repeat the experiment several times. If you do it 5 times there could be one or two anomalous, however do it 10, 15, 20 or 100 times you would find that about 95% of your results say one thing and that 5% say another, then your experiment will be dead accurate.

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Q: How could you make more accurate predictions?
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Using patterns and equations is a great way to make predictions. By analyzing patterns and equations, you'll have a better idea of what way your information will lay. While previous patterns and equations will not always guarantee that your new information will pattern in the same way, it should give you a more accurate predictions.


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Attitude measures can either create accurate or erroneous predictions about behavior. However, the more accurate that the attitude measures are, the more likely the predictions will match up with the attitudes. For example, surveys with numerical scales tend to seem repetitive after a while. After responding to different questions with the same exact choices (1 for extremely dissatisfied through 7 for extremely satisfied) for so long, the respondent might just start selecting answers, such as all 4s. If this happens, the measures are no longer accurate; therefore, the predictions also would not be accurate. Also, if the attitude measures were too general, then only general behavior could be predicted. More specific measures would be needed to predict specific behavior. Additionally, other factors could affect behavior and cause it to not be aligned with the attitude initially measured.


What do scientist make and attempt to confirm them by testing one or more alternative hypotheses?

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This question is confusing. Could you please be more specific. Also more clear in your meaning. This way you get an accurate and clear answer.


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