IDNLearn.com is the place where your questions are met with thoughtful and precise answers. Our platform provides prompt, accurate answers from experts ready to assist you with any question you may have.
Sagot :
Sure, let's solve the problem step-by-step based on the given data.
### Data Summary:
The data is given as:
- No High School Diploma: [tex]$10.00, 9.50, 11.50, 13.00$[/tex]
- High School Diploma: [tex]$19.00, 15.25, 14.00, 15.75$[/tex]
### Step 1: Calculate the Means
For people without a high school diploma:
[tex]\[ \text{Mean} = \frac{10.00 + 9.50 + 11.50 + 13.00}{4} = \frac{44.00}{4} = 11.00 \][/tex]
For people with a high school diploma:
[tex]\[ \text{Mean} = \frac{19.00 + 15.25 + 14.00 + 15.75}{4} = \frac{64.00}{4} = 16.00 \][/tex]
### Step 2: Calculate the Mean Absolute Deviation (MAD)
The Mean Absolute Deviation is calculated by taking the average of the absolute deviations from the mean.
For people without a high school diploma:
[tex]\[ \begin{aligned} \text{Deviations from mean} &= |10.00 - 11.00|, |9.50 - 11.00|, |11.50 - 11.00|, |13.00 - 11.00| \\ &= | - 1.00|, |-1.50|, |0.50|, |2.00| \\ &= 1.00, 1.50, 0.50, 2.00 \end{aligned} \][/tex]
[tex]\[ \text{MAD} = \frac{1.00 + 1.50 + 0.50 + 2.00}{4} = \frac{5.00}{4} = 1.25 \][/tex]
For people with a high school diploma:
[tex]\[ \begin{aligned} \text{Deviations from mean} &= |19.00 - 16.00|, |15.25 - 16.00|, |14.00 - 16.00|, |15.75 - 16.00| \\ &= |3.00|, |-0.75|, |-2.00|, |-0.25| \\ &= 3.00, 0.75, 2.00, 0.25 \end{aligned} \][/tex]
[tex]\[ \text{MAD} = \frac{3.00 + 0.75 + 2.00 + 0.25}{4} = \frac{6.00}{4} = 1.50 \][/tex]
### Step 3: Compare the Variability
To determine which group has more variation around the mean, we compare the MAD values:
[tex]\[ \text{MAD} \text{ for people without a high school diploma} = 1.25 \][/tex]
[tex]\[ \text{MAD} \text{ for people with a high school diploma} = 1.50 \][/tex]
Since 1.25 (MAD without a high school diploma) is less than 1.50 (MAD with a high school diploma), the data for people without a high school diploma are more concentrated around the mean.
### Final Statements:
- The mean absolute deviation for people without a high school diploma is 1.25
- The mean absolute deviation for people with a high school diploma is 1.50
- The data for people without a high school diploma are more concentrated around the mean than the data for people with a high school diploma.
### Data Summary:
The data is given as:
- No High School Diploma: [tex]$10.00, 9.50, 11.50, 13.00$[/tex]
- High School Diploma: [tex]$19.00, 15.25, 14.00, 15.75$[/tex]
### Step 1: Calculate the Means
For people without a high school diploma:
[tex]\[ \text{Mean} = \frac{10.00 + 9.50 + 11.50 + 13.00}{4} = \frac{44.00}{4} = 11.00 \][/tex]
For people with a high school diploma:
[tex]\[ \text{Mean} = \frac{19.00 + 15.25 + 14.00 + 15.75}{4} = \frac{64.00}{4} = 16.00 \][/tex]
### Step 2: Calculate the Mean Absolute Deviation (MAD)
The Mean Absolute Deviation is calculated by taking the average of the absolute deviations from the mean.
For people without a high school diploma:
[tex]\[ \begin{aligned} \text{Deviations from mean} &= |10.00 - 11.00|, |9.50 - 11.00|, |11.50 - 11.00|, |13.00 - 11.00| \\ &= | - 1.00|, |-1.50|, |0.50|, |2.00| \\ &= 1.00, 1.50, 0.50, 2.00 \end{aligned} \][/tex]
[tex]\[ \text{MAD} = \frac{1.00 + 1.50 + 0.50 + 2.00}{4} = \frac{5.00}{4} = 1.25 \][/tex]
For people with a high school diploma:
[tex]\[ \begin{aligned} \text{Deviations from mean} &= |19.00 - 16.00|, |15.25 - 16.00|, |14.00 - 16.00|, |15.75 - 16.00| \\ &= |3.00|, |-0.75|, |-2.00|, |-0.25| \\ &= 3.00, 0.75, 2.00, 0.25 \end{aligned} \][/tex]
[tex]\[ \text{MAD} = \frac{3.00 + 0.75 + 2.00 + 0.25}{4} = \frac{6.00}{4} = 1.50 \][/tex]
### Step 3: Compare the Variability
To determine which group has more variation around the mean, we compare the MAD values:
[tex]\[ \text{MAD} \text{ for people without a high school diploma} = 1.25 \][/tex]
[tex]\[ \text{MAD} \text{ for people with a high school diploma} = 1.50 \][/tex]
Since 1.25 (MAD without a high school diploma) is less than 1.50 (MAD with a high school diploma), the data for people without a high school diploma are more concentrated around the mean.
### Final Statements:
- The mean absolute deviation for people without a high school diploma is 1.25
- The mean absolute deviation for people with a high school diploma is 1.50
- The data for people without a high school diploma are more concentrated around the mean than the data for people with a high school diploma.
Thank you for using this platform to share and learn. Don't hesitate to keep asking and answering. We value every contribution you make. Your search for answers ends at IDNLearn.com. Thanks for visiting, and we look forward to helping you again soon.