You are a member of your local apartment association. The association represents rental housing owners and managers who operate residential rental property throughout the greater metropolitan area. Recently, the association has received several complaints from tenants in a particular area of the city who feel that their monthly rental fees are much higher than other parts of the city.You want to investigate the rental fees. You gather the data shown in the table below. Area A represents the area of the city where tenants are unhappy about their monthly rents. The data represent the monthly rents paid by a random sample of tenants in Area A and three other areas of similar size. Assume all the apartments represented are approximately the same size with the same amenities.Which statistical measure(s) do you think would best represent the data sets for the four areas of the city?Calculate the measure(s) for all 4 sets of the data.Are there graphs that could help you decide?Do you think the complaints in Area A are legitimate? How do you think they should be addressed?What are some of the reasons the rents may vary among different areas in the city? Here is the transcribed data from the table included for educational purposes. The table details various figures attributed to four different areas—Area A, Area B, Area C, and Area D. The exact nature of these figures is not specified, but they could represent a range of data points such as population counts, sales figures, or any other quantitative data of interest.### Data Table:| | Area A | Area B | Area C | Area D ||-------|--------|--------|--------|--------|| **1** | 1275 | 1124 | 1085 | 928 || **2** | 1110 | 954 | 827 | 1096 || **3** | 975 | 815 | 793 | 862 || **4** | 862 | 1078 | 1170 | 735 || **5** | 1040 | 843 | 919 | 798 || **6** | 997 | 745 | 943 | 812 || **7** | 1119 | 796 | 756 | 1232 || **8** | 908 | 816 | 765 | 1036 || **9** | 890 | 938 | 809 | 998 || **10**| 1055 | 1082 | 1020 | 914 || **11**| 860 | 750 | 710 | 1005 || **12**| 975 | 703 | 775 | 930 |#### Explanation of the Table- **Columns**: Each column corresponds to a different area (A, B, C, D). Each entry down the column represents the data point or figure for that particular area.- **Rows**: Each row represents a different data entry position, enumerating from 1 to 12.### Example Uses of the Table:1. **Comparative Analysis**: This data table can be used to compare values across different areas. For instance, educators can instruct students to identify which area has the highest value at a given position (row).2. **Trend Observation**: By examining how figures change from one

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Description: You are a member of your local apartment association. The association represents rental housing owners and managers who operate residential rental property throughout the greater metropolitan area. Recently, the association has received several compl

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You are a member of your local apartment association. The association represents rental housing owners and managers who operate residential rental property throughout the greater metropolitan area. Recently, the association has received several complaints from tenants in a particular area of the city who feel that their monthly rental fees are much higher than other parts of the city.

You want to investigate the rental fees. You gather the data shown in the table below. Area A represents the area of the city where tenants are unhappy about their monthly rents. The data represent the monthly rents paid by a random sample of tenants in Area A and three other areas of similar size. Assume all the apartments represented are approximately the same size with the same amenities.

Which statistical measure(s) do you think would best represent the data sets for the four areas of the city?
Calculate the measure(s) for all 4 sets of the data.
Are there graphs that could help you decide?
Do you think the complaints in Area A are legitimate? How do you think they should be addressed?
What are some of the reasons the rents may vary among different areas in the city?

Here is the transcribed data from the table included for educational purposes. The table details various figures attributed to four different areas—Area A, Area B, Area C, and Area D. The exact nature of these figures is not specified, but they could represent a range of data points such as population counts, sales figures, or any other quantitative data of interest.

### Data Table:

| | Area A | Area B | Area C | Area D |
|-------|--------|--------|--------|--------|
| **1** | 1275 | 1124 | 1085 | 928 |
| **2** | 1110 | 954 | 827 | 1096 |
| **3** | 975 | 815 | 793 | 862 |
| **4** | 862 | 1078 | 1170 | 735 |
| **5** | 1040 | 843 | 919 | 798 |
| **6** | 997 | 745 | 943 | 812 |
| **7** | 1119 | 796 | 756 | 1232 |
| **8** | 908 | 816 | 765 | 1036 |
| **9** | 890 | 938 | 809 | 998 |
| **10**| 1055 | 1082 | 1020 | 914 |
| **11**| 860 | 750 | 710 | 1005 |
| **12**| 975 | 703 | 775 | 930 |

#### Explanation of the Table

- **Columns**: Each column corresponds to a different area (A, B, C, D). Each entry down the column represents the data point or figure for that particular area.
- **Rows**: Each row represents a different data entry position, enumerating from 1 to 12.

### Example Uses of the Table:
1. **Comparative Analysis**: This data table can be used to compare values across different areas. For instance, educators can instruct students to identify which area has the highest value at a given position (row).
2. **Trend Observation**: By examining how figures change from one

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