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Bunuel
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NeerajR2000
This is a great question that’s helpful for learning and I don’t quite agree with the solution. Statement 1: At least half of respondents gave at least 4 stars for at least two features.
No.
This requires the proportion of respondents rating ≥4 stars on ≥2 features to be ≥50%. The table gives per-feature proportions for ≥4 stars:

Total "high ratings" across all: 59% + 11% + 80% + 49% + 14% =
Let r = proportion with ≥2 highs.
The remaining (1 - r) can cover at most (1 - r) highs (one each via singletons; zeros cover none).
Thus, the r must cover at least 213% - (1 - r)% = 112% + r% of the highs.
Each of the r can cover up to 5 highs, but capped by per-feature proportions: max coverage by r is ∑ min(r, pi) where pi are the ≥4% per feature.
We solve for minimal r where ∑ min(r, pi) ≥ 1.13 + r.

For r in [0.14, 0.49] (relevant range): ∑ min(r, pi) = 0.11 + 0.14 + 3r = 0.25 + 3r.
Set 0.25 + 3r = 1.13 + r → 2r = 0.88 → r = 0.44.
This satisfies the caps (0.44 < 0.49, 0.59, 0.80).
Thus, it's possible for only 44% to have ≥2 highs
I’m not fully following what you’re trying to say there, but Statement 1 is much simpler than what you’re turning it into.

It does not ask how many people gave two high ratings.
It only asks whether there are two features where at least half of respondents gave 4 or 5 stars.

Home and Playback already cross 50 percent. That alone makes the statement true.
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I like the solution - it’s helpful.
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I like the solution - it’s helpful.
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