Mrs. Higgins' Home Economics class collected data on the number of chocolate chips in cookies for two different brands, as shown in the dot plots below.
The mean absolute deviation for each brand is 0.8. The difference between the mean number of chocolate chips for each brand is approximately how many times the mean absolute deviation?
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To find the difference between the mean number of chocolate chips for each brand, we need to calculate the mean for each brand separately.
Unfortunately, as an AI text-based model, I cannot view or access external images or URLs. However, I can guide you through the process to find the answer.
1. Calculate the mean for each brand by adding all the data values for each brand and dividing by the total number of data points.
2. Find the difference between the means of the two brands.
Once you have the difference, we can continue to calculate how many times the mean absolute deviation it is.
Let me know if you have the actual data values or any specific numbers, so I can assist you further.
To determine the difference between the mean number of chocolate chips for each brand, you need to compare the means of the two dot plots. However, without the actual dot plots or the data they represent, it is not possible to directly calculate the mean or the difference between the means.
That being said, since you mentioned the mean absolute deviation (MAD) for each brand is 0.8, we can use this information to estimate the difference between the means. The MAD is a measure of how spread out the data points are from the mean. A smaller MAD suggests that the data points are closer to the mean.
Let's assume that the difference between the means of the two brands is D, and the MAD for each brand is 0.8. Since the question asks how many times the mean absolute deviation the difference is, we need to calculate D / 0.8.
Please note that this is an estimation without the actual data or dot plots. However, if you have access to the actual data or dot plots, you can calculate the means more accurately and find the exact difference between them.
Did you find your answer?
If not, then just calculate the value data found in the two graphs (separately of course).
A: 18 + 19(6) + 20(6) + 21(6) + 22 = 400
B: 14(8) + 15(6) + 16(5) + 17(0) + 18(1) = 300
Then proceed with counting amount of points in the dataset.
A has 20 points (i.e. (6*3) +2) and B has (8+6+5+1 = 20)
Then divide 400 by 20 and 300 by 20.
400/ 20 = 20
300 / 20 = 15
Afterwards, just subtract both to get your mean difference between the two sets.
20 -15 = 5.
Finally to get your deviation, just divide your mean difference by your mean absolute deviation.
So... 5/(0.8) = 6.25
So it is about 6.25 times.