To complete the table with the mean heights for each sample, we can calculate the mean for each set of heights provided.
Mean Calculation:
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Sample 1 Heights: 4.9, 4.8, 5.1, 4.4, 5.3, 5.2
Mean = (4.9 + 4.8 + 5.1 + 4.4 + 5.3 + 5.2) / 6
Mean = 29.7 / 6 = 4.95 -
Sample 2 Heights: 5.2, 5.4, 4.5, 4.7, 5.0, 4.3
Mean = (5.2 + 5.4 + 4.5 + 4.7 + 5.0 + 4.3) / 6
Mean = 29.1 / 6 = 4.85 -
Sample 3 Heights: 4.2, 4.5, 5.0, 4.8, 4.7, 5.1
Mean = (4.2 + 4.5 + 5.0 + 4.8 + 4.7 + 5.1) / 6
Mean = 28.3 / 6 = 4.71667 ≈ 4.72 (you can round to two decimal places)
Table Completion:
| Sample | Heights (in feet) | Sample Mean | |--------|---------------------------------------|-------------| | 1 | 4.9, 4.8, 5.1, 4.4, 5.3, 5.2 | 4.95 | | 2 | 5.2, 5.4, 4.5, 4.7, 5.0, 4.3 | 4.85 | | 3 | 4.2, 4.5, 5.0, 4.8, 4.7, 5.1 | 4.72 |
PART B:
To analyze the responses based on the sample means calculated:
The sample means are:
- Sample 1: 4.95
- Sample 2: 4.85
- Sample 3: 4.72
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Range of Sample Means:
Range = Max mean - Min mean = 4.95 - 4.72 = 0.23 (not 0.10). -
Average of Sample Means:
Average = (4.95 + 4.85 + 4.72) / 3 = 4.80667 ≈ 4.81. This means average is likely not 4.84 or 5.00. -
If Malakai took smaller sample sizes: Typically, smaller sample sizes lead to more variability, so this statement is likely false.
Based on the above analyses, let's review the statements:
- A: False - The range is not 0.10.
- B: False - The average is closer to 4.8, but not exactly 4.84.
- C: False - Smaller samples would usually lead to more variability, resulting in means that could be farther from the true mean.
- D: False - The average calculated is not 5.0.
Conclusion:
None of the options A, B, C, or D seem to be correct as stated based on the calculations provided. If any option needs to be selected based on the closest values, you might consider option B regarding the average of the sample means, but it should be adjusted to reflect the actual average (which is close to 4.81).