The problem requires creating a histogram from the given data. The data consists of shift durations for each day of the week, and the histogram should group this data into bins of width 3 (0-3, 3-6, 6-9). The histogram must exclude the left endpoint and includes the right endpoint of the interval. The given data is: Monday: 2.0, 1.5 Tuesday: 1.8, 1.8 Wednesday: 1.8 Thursday: 1.1 Friday: 4.6, 4.0 Saturday: 4.0 Sunday: 7.5

Probability and StatisticsData AnalysisHistogramFrequency DistributionBinning
2025/3/14

1. Problem Description

The problem requires creating a histogram from the given data. The data consists of shift durations for each day of the week, and the histogram should group this data into bins of width 3 (0-3, 3-6, 6-9). The histogram must exclude the left endpoint and includes the right endpoint of the interval.
The given data is:
Monday: 2.0, 1.5
Tuesday: 1.8, 1.8
Wednesday: 1.8
Thursday: 1.1
Friday: 4.6, 4.0
Saturday: 4.0
Sunday: 7.5

2. Solution Steps

Step 1: Count the number of data points that fall within each bin.
Bin 1: (0, 3] - This bin includes values strictly greater than 0 and less than or equal to

3. - Monday: 2.0, 1.5 are in this bin.

- Tuesday: 1.8, 1.8 are in this bin.
- Wednesday: 1.8 is in this bin.
- Thursday: 1.1 is in this bin.
So, the number of data points in this bin is 2 + 2 + 1 + 1 =
6.
Bin 2: (3, 6] - This bin includes values strictly greater than 3 and less than or equal to

6. - Friday: 4.6, 4.0 are in this bin.

- Saturday: 4.0 is in this bin.
So, the number of data points in this bin is 2 + 1 =
3.
Bin 3: (6, 9] - This bin includes values strictly greater than 6 and less than or equal to

9. - Sunday: 7.5 is in this bin.

So, the number of data points in this bin is
1.
Step 2: Plot the histogram based on the count calculated in Step
1.
The bin (0, 3] has a height of

6. The bin (3, 6] has a height of

3. The bin (6, 9] has a height of

1.

3. Final Answer

The histogram should have bars with the following heights:
Bin (0, 3]: 6
Bin (3, 6]: 3
Bin (6, 9]: 1

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