To accurately match each class to the descriptions you've provided (lowest mean, highest mean, smallest standard deviation), it's essential to examine the dot plots directly. However, since I'm unable to view or analyze visual data such as dot plots, I can provide some guidance on how to determine the required statistics from the dot plots you have.
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Calculating the Mean:
- The mean is calculated by adding all the test scores together and then dividing by the number of scores. Look at each class's dot plot, sum the scores represented by the dots, and calculate the mean for each class.
- Compare the means to identify which class has the lowest and which has the highest.
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Calculating the Standard Deviation:
- The standard deviation indicates how spread out the scores are from the mean. A smaller standard deviation means that the scores are closer to the mean.
- You can estimate variability visually from the dot plots: the class with scores tightly clustered around the mean will have the smallest standard deviation, while a class with scores spread out will have a larger standard deviation.
Once you've calculated or estimated the mean and standard deviation for each class, you can drag the classes into the appropriate boxes based on the statistics you've calculated.
If you have specific data points or more details from the dot plots you'd like to share, I can help you further analyze that information!