Find the mode/modes for the data below for city 1. The data below represents the amount of money people spend in housing in two different cities. If there are two type them in separated by a comma, no spaces, smaller one first.(whole numbers) City 1 1235 1988 1788 1466 1644 2311 1720 1747 1358 1684 1955 1058 2415 945 1766 1566 1355 1788 2154 1684 mode/modes:

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### Finding the Mode for Housing Cost Data in City 1

#### Task:
Determine the mode or modes for the housing cost data in City 1.

#### Data Representation:
The dataset below outlines the amount of money (in whole numbers) people spend on housing in two different cities. Specifically, you are required to find the mode/modes for City 1. If there are multiple modes, list them in ascending order, separated by a comma with no spaces.

#### Data for City 1:
```
1235, 1988
1788, 1466
1644, 2311
1720, 1747
1358, 1684
1955, 1058
2415, 945
1766, 1566
1355, 1788
2154, 1684
```

#### Mode/ Modes for City 1:
```
Mode/ Modes: 
```

To find the mode for City 1, identify the most frequently occurring values in the dataset. If you identify two or more values that share the highest frequency, they should all be listed as modes.

**Example Calculation**:
1. **Data values in ascending order**:
   ```
   945, 1058, 1235, 1355, 1358, 1466, 1566, 1644, 1684, 1684, 1720, 1747, 1766, 1788, 1788, 1955, 1988, 2154, 2311, 2415
   ```
2. **Frequency tally**:
   - 945: 1
   - 1058: 1
   - 1235: 1
   - 1355: 1
   - 1358: 1
   - 1466: 1
   - 1566: 1
   - 1644: 1
   - 1684: 2
   - 1720: 1
   - 1747: 1
   - 1766: 1
   - 1788: 2
   - 1955: 1
   - 1988: 1
   - 2154: 1
   - 2311: 1
   - 2415: 1

3.
Transcribed Image Text:### Finding the Mode for Housing Cost Data in City 1 #### Task: Determine the mode or modes for the housing cost data in City 1. #### Data Representation: The dataset below outlines the amount of money (in whole numbers) people spend on housing in two different cities. Specifically, you are required to find the mode/modes for City 1. If there are multiple modes, list them in ascending order, separated by a comma with no spaces. #### Data for City 1: ``` 1235, 1988 1788, 1466 1644, 2311 1720, 1747 1358, 1684 1955, 1058 2415, 945 1766, 1566 1355, 1788 2154, 1684 ``` #### Mode/ Modes for City 1: ``` Mode/ Modes: ``` To find the mode for City 1, identify the most frequently occurring values in the dataset. If you identify two or more values that share the highest frequency, they should all be listed as modes. **Example Calculation**: 1. **Data values in ascending order**: ``` 945, 1058, 1235, 1355, 1358, 1466, 1566, 1644, 1684, 1684, 1720, 1747, 1766, 1788, 1788, 1955, 1988, 2154, 2311, 2415 ``` 2. **Frequency tally**: - 945: 1 - 1058: 1 - 1235: 1 - 1355: 1 - 1358: 1 - 1466: 1 - 1566: 1 - 1644: 1 - 1684: 2 - 1720: 1 - 1747: 1 - 1766: 1 - 1788: 2 - 1955: 1 - 1988: 1 - 2154: 1 - 2311: 1 - 2415: 1 3.
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