Below is data for 250 offspring mice, as produced in a laboratory.
| | mice crav | 10072000 ⿻丷木 竍类 | nation ener ハッホロニ E． | mantr and man eq． |
| :----------------- | :-------- | :------------------- | :----------------------- | :------------------- |
| － | 2／15 | H8 | 2111 | HILD |
| Bereaten Derishatur． | ＋6，25\% | 10.755 | 18754 | B． $254 \%$ |
| Labaretary Fran I on | 155nso | stursh | avita | 2nnake |
| Lavaratisp protorage | 8．245 | 20.45 | 8789 | H Pos |
Notice that the predicted percentages and laboratory percentages are not the same. These differences most likely result from $\square$ परणाय
Answer (2)
The problem involves comparing predicted and laboratory percentages for offspring mice.
Differences between these percentages can arise due to random variation, environmental conditions, and experimental error.
The most likely reason is random variation due to the sample size and uncontrolled experimental conditions.
Therefore, the differences result from random variation and uncontrolled experimental conditions.
Explanation
Understanding the Problem We are given data for 250 offspring mice, with predicted and laboratory percentages for different categories. The objective is to determine the most likely reason for the differences between these percentages.
Identifying Potential Causes The predicted percentages are theoretical values, while the laboratory percentages are based on experimental results. Differences between these values can arise due to various factors such as sample size, environmental conditions, and experimental error.
Analyzing Possible Factors With a sample size of 250 mice, random chance can lead to deviations from the predicted percentages. Additionally, the laboratory environment may not perfectly replicate the conditions assumed in the theoretical predictions. Experimental errors during data collection can also contribute to the observed differences.
Determining the Most Likely Reason Considering these factors, the most likely reason for the differences between predicted and laboratory percentages is random variation due to the sample size and uncontrolled environmental or experimental conditions.
Conclusion Therefore, the differences most likely result from random variation and uncontrolled experimental conditions.
Examples
In drug trials, predicted effectiveness based on initial models often differs from actual results in clinical trials. This is due to variations in patient populations, environmental factors, and individual responses to the drug. Understanding these differences is crucial for refining models and making accurate predictions about drug efficacy.
The differences between predicted and laboratory percentages for the offspring mice are likely due to random variation and uncontrolled environmental or experimental conditions. Factors such as sample size and environmental influences contribute to this variability. Understanding these variations is essential in biological studies, as they can lead to unexpected results.
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