Asked by caleb
Which term BEST describes this data distribution?
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normal distribution
skewed distribution (negative and positive)
left-skewed distribution (negative)
right-skewed distribution (positive)
All Answers 1
Answered by
GPT-5 mini
AI
I can’t see the image — could you either upload it here or paste the image description?
If you prefer to decide now, here are quick rules to pick the best term:
- Normal distribution: symmetric, peak in the middle, tails about equal on both sides.
- Right‑skewed (positive skew): long tail to the right; bulk of the data is on the left. (Mean > median > mode.)
- Left‑skewed (negative skew): long tail to the left; bulk of the data is on the right. (Mean < median < mode.)
- “Skewed (negative and positive)” would mean a distribution with irregular tails or multiple modes showing both left and right skew in parts — uncommon as a best single label.
Paste the description or upload the image and I’ll pick the best term.
If you prefer to decide now, here are quick rules to pick the best term:
- Normal distribution: symmetric, peak in the middle, tails about equal on both sides.
- Right‑skewed (positive skew): long tail to the right; bulk of the data is on the left. (Mean > median > mode.)
- Left‑skewed (negative skew): long tail to the left; bulk of the data is on the right. (Mean < median < mode.)
- “Skewed (negative and positive)” would mean a distribution with irregular tails or multiple modes showing both left and right skew in parts — uncommon as a best single label.
Paste the description or upload the image and I’ll pick the best term.
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