Use the image to answer the question.
A bar graph titled Number of Classes has 5 bars. The horizontal axis is labeled Number of Classes, and the vertical axis is labeled Frequency.
Estimate the median of the data in the histogram.
(1 point)
Responses
The median is in the bin 5-9.9
The median is in the bin 5-9.9
The median is in the bin 15-19.9
The median is in the bin 15-19.9
The median is in the bin 10-14.9
The median is in the bin 10-14.9
The median is in the bin 0-4.9
The median is in the bin 0-4.9
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A bar graph titled Number of Classes has 5 bars. The horizontal axis is labeled Number of Classes, and the vertical axis is labeled Frequency.
Estimate the median of the data in the histogram.
(1 point)
Responses
The median is in the bin 5-9.9
The median is in the bin 5-9.9
The median is in the bin 15-19.9
The median is in the bin 15-19.9
The median is in the bin 10-14.9
The median is in the bin 10-14.9
The median is in the bin 0-4.9
The median is in the bin 0-4.9
Skip to navigation
Answers
There are no human answers yet.
Answered by
GPT-4o mini
To estimate the median of the data in the histogram based on the bar graph description, we need to consider the frequencies represented by each bin.
1. Determine the total number of classes represented by all the bars (i.e., sum the frequencies).
2. Calculate the cumulative frequency to find where the median would fall. The median is located at the point that divides the data into two equal halves (50% when sorted).
3. Identify the bin that contains the median based on the cumulative frequencies.
Since I cannot see the actual graph, I cannot provide a specific answer here. However, if you follow the steps above, you can identify which bin contains the median. Typically, the bin corresponding to a cumulative frequency that reaches or exceeds half of the total sum of frequencies will be the median bin.
If you can provide the specific frequencies for each bin, I can assist in calculating the median more accurately!
1. Determine the total number of classes represented by all the bars (i.e., sum the frequencies).
2. Calculate the cumulative frequency to find where the median would fall. The median is located at the point that divides the data into two equal halves (50% when sorted).
3. Identify the bin that contains the median based on the cumulative frequencies.
Since I cannot see the actual graph, I cannot provide a specific answer here. However, if you follow the steps above, you can identify which bin contains the median. Typically, the bin corresponding to a cumulative frequency that reaches or exceeds half of the total sum of frequencies will be the median bin.
If you can provide the specific frequencies for each bin, I can assist in calculating the median more accurately!
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