Using the iris data create a (standard) histogram of the Sepal.Width variable using ggplot and the geom_histogram functions. Set the number of bins or columns in the plot to be 15 using the argument bins=15 inside the geom_histogram function.

What is the height of the largest column in the resulting plot between?

Question

Using the iris data create a (standard) histogram of the Sepal.Width variable using ggplot and the geom_histogram functions. Set the number of bins or columns in the plot to be 15 using the argument bins=15 inside the geom_histogram function.

What is the height of the largest column in the resulting plot between?

BlackTom AI · Accepted Answer

We start by restating the task and the provided options to set the context. The user asks about creating a standard histogram of Sepal.Width from the iris dataset with 15 bins, and then asks for the height of the largest column, choosing among these ranges: 25-30, 30-35, 35-40, 45-50.
Option 1: 25-30. In the iris dataset, Sepal.Width values typically range roughly from about 2.0 to 4.5 cm. A height of 25-30 would imply an extremely tall bin count relative to the sample size, which is not plausible given the actual data distribution. Also, with 150 observations spread over 15 bins, the average bin height would be around 10 observations per bin if perfectly even, making a bin height as high as 25-30 unlikely. Therefore this option seems implausible and inconsistent with the data range.
Option 2: 45-50. This range is well beyond the maximum Sepal.Width values in the iris data, which do not reach 45 or 50. Since histograms bin data along the measured variable’s range, a bin height in this tail would be impossible due to the absence of data points in such values. So this option can be dismissed on factual grounds.
Option 3: 30-35. This interval lies within the typical spread of Sepal.Width values, which cluster between roughly 2.0 and 4.5 cm. A bin covering 30-35 would be outside the actual measurement scale, because the data values are around 2 to 4.5, not tens. Interpreting 30-35 as a height (count) rather than as a value range is also inconsistent with how histogram heights are described in this context. Therefore this option is incorrect on the basis of both the unit scale and the interpretation of bin heights.
Option 4: 35-40. This range corresponds to heights that fall within the plausible count of observations per bin when bins are set to 15 over the known range of Sepal.Width in iris. With 150 observations distributed across 15 bins, a bin height near the 35-40 region is reasonable, given typical overdispersion in real data and the common shapes seen in iris Sepal.Width histograms. Thus, among the provided choices, this interval best matches what you would expect for the largest column height in a standard histogram of Sepal.Width using 15 bins.
In summary, the options that conflict with the actual measurement scale (values around 2–4.5) or conflict with typical bin counts given 150 samples and 15 bins can be ruled out, leaving 35-40 as the most plausible height for the tallest bin based on the iris Sepal.Width distribution.

DATA1001/1901 (ND) Revision Quiz 2

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