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Earlier, you worked with the reaction times of twelfth graders to see if they were fast enough to help out at the track meet. Look back at the sample you collected.
Your teacher will display a blank dot plot.
Plot your sample mean from the previous activity on your teacher's dot plot.
What do you notice about the distribution of the sample means from the class?
Where is the center?
Is there a lot of variability?
Is it approximately symmetric?
The population mean is 0.445 seconds. How does this value compare to the sample means from the class?
Pause here so your teacher can display a dot plot of the reaction times of the population.
What do you notice about the distribution of the population?
Where is the center?
Is there a lot of variability?
Is it approximately symmetric?
Compare the two displayed dot plots.
Based on the distribution of sample means from the class, do you think the mean of a random sample of 20 items is likely to be:
Explain or show your reasoning.
Here are the mean ages for 100 different samples of viewers from each show.
For each show, use the dot plot to estimate the population mean.
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A population of hummingbirds has a mean weight of 11.6 grams. This dot plot shows the weights of 18 hummingbirds selected from the population that have the same mean weight as the population. The mean weight is indicated with a triangle.
20 more samples, each with 5 hummingbirds, are selected from the original population. For each sample, the mean of the 5 birds is calculated and plotted on this dot plot. The triangle represents the population mean of 11.6 grams. Notice that the sample means are fairly close to the population mean, but that they are not exactly the same.
What is different if more hummingbirds are included in the samples? This dot plot shows the means of 20 samples of 10 hummingbirds, selected at random. Notice that the means for these samples are generally better estimates for the population mean because they tend to be even closer to the mean for the entire population.
In general, as the sample size gets bigger, the mean of a sample is more likely to be closer to the mean of the population.