For 7 days keep track of the number of pieces of mail you receive at your home.
a. Put your data into a frequency table having intervals of 0–4, 5–9, 10–14, and
15–19.
b. Use the frequency table to create a histogram of the data.
c. Do you notice any patterns in the histogram?
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For 7 days keep track of the number of pieces of mail you receive at your home.
a. Put your data into a frequency table having intervals of 0–4, 5–9, 10–14, and
15–19.
b. Use the frequency table to create a histogram of the data.
c. Do you notice any patterns in the histogram?
a. Put your data into a frequency table having intervals of 0–4, 5–9, 10–14, and
15–19.
b. Use the frequency table to create a histogram of the data.
c. Do you notice any patterns in the histogram?
I apologize, but as an AI language model, I do not have access to any personal or real-time data. However, I can guide you on how to approach this problem.
a. Review your data for the past seven days, and categorize them into four intervals as follows:
- Interval 1: 0-4 pieces
- Interval 2: 5-9 pieces
- Interval 3: 10-14 pieces
- Interval 4: 15-19 pieces
Count the number of times you receive mail within each interval. Then, put your data into a frequency table that shows the intervals and their respective frequencies.
b. Once you have the frequency table, you can create a histogram by plotting the intervals on the x-axis and the frequency counts on the y-axis. Each interval will be represented by a rectangular bar whose height corresponds to the frequency count of that interval.
c. After creating the histogram, you may observe some patterns, such as the most common interval that you receive mail within or whether your mail frequency follows a normal distribution.
a. Review your data for the past seven days, and categorize them into four intervals as follows:
- Interval 1: 0-4 pieces
- Interval 2: 5-9 pieces
- Interval 3: 10-14 pieces
- Interval 4: 15-19 pieces
Count the number of times you receive mail within each interval. Then, put your data into a frequency table that shows the intervals and their respective frequencies.
b. Once you have the frequency table, you can create a histogram by plotting the intervals on the x-axis and the frequency counts on the y-axis. Each interval will be represented by a rectangular bar whose height corresponds to the frequency count of that interval.
c. After creating the histogram, you may observe some patterns, such as the most common interval that you receive mail within or whether your mail frequency follows a normal distribution.