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Question
the histogram below represents data from samples of bladder cancer and uterine cancer. each sample was taken from the cancerous bladder or uterine cells of a different individual with cancer. each bin on the histogram represents the number of mutations in the persons cancerous cells compared to the rest of their body. credit: graph created by codon learning using data from kandoth et al. (2013) mutational landscape and significance across 12 major cancer types. nature doi.org/10.1038/nature12634 which statements are supported by the data in the histogram? select all that apply. about 30 samples from cancerous bladder cells had between 101 and 200 mutations. there were about the same number of samples of cancerous bladder cells and cancerous uterine cells that had between 0 and 100 mutations. some samples of cancerous uterine cells had fewer than 200 mutations, while others had more than 800 mutations. the average number of mutations in cancerous uterine cells as around 700. most samples of cancerous bladder cells had the same number of mutations.
Step1: Analyze first statement
Check the bar for bladder - cancer in 101 - 200 mutations range. The height of the blue bar in this range is around 30, so the statement "About 30 samples from cancerous bladder cells had between 101 and 200 mutations" is supported.
Step2: Analyze second statement
Compare the heights of blue and red bars in 0 - 100 mutations range. The blue bar (bladder cancer) is much shorter than the red bar (uterine cancer), so the statement "There were about the same number of samples of cancerous bladder cells and cancerous uterine cells that had between 0 and 100 mutations" is not supported.
Step3: Analyze third statement
Check the red bars for uterine cancer. There are red bars in the 0 - 100 and 801 - 900 ranges, so the statement "Some samples of cancerous uterine cells had fewer than 200 mutations, while others had more than 800 mutations" is supported.
Step4: Analyze fourth statement
There is no way to calculate the average from the histogram. The distribution is uneven, and we only have frequency in ranges, not exact values, so the statement "The average number of mutations in cancerous uterine cells as around 700" is not supported.
Step5: Analyze fifth statement
The blue bars for bladder cancer have different heights across different mutation - range bins, so the statement "Most samples of cancerous bladder cells had the same number of mutations" is not supported.
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- About 30 samples from cancerous bladder cells had between 101 and 200 mutations.
- Some samples of cancerous uterine cells had fewer than 200 mutations, while others had more than 800 mutations.