To find which sample will result in the greatest mean, we need to calculate the mean for each sample. The mean is calculated by summing all the values in the sample and then dividing by the number of values (which is 5 for each sample).
Calculations:
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Sample 1:
- Data: 4, 5, 2, 4, 3
- Sum: \(4 + 5 + 2 + 4 + 3 = 18\)
- Mean: \(18 / 5 = 3.6\)
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Sample 2:
- Data: 2, 2, 6, 5, 6
- Sum: \(2 + 2 + 6 + 5 + 6 = 21\)
- Mean: \(21 / 5 = 4.2\)
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Sample 3:
- Data: 4, 6, 3, 4, 2
- Sum: \(4 + 6 + 3 + 4 + 2 = 19\)
- Mean: \(19 / 5 = 3.8\)
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Sample 4:
- Data: 5, 2, 4, 3, 6
- Sum: \(5 + 2 + 4 + 3 + 6 = 20\)
- Mean: \(20 / 5 = 4.0\)
Now, we can summarize the means:
- Sample 1 Mean: 3.6
- Sample 2 Mean: 4.2
- Sample 3 Mean: 3.8
- Sample 4 Mean: 4.0
The sample with the greatest mean is Sample 2, with a mean of 4.2.