histogram with 4 classes using Microsoft Excel, Google Sheets, or GeoGebra. You will upload the graph in the next question. {64, 60, 57, 63, 61, 64, 50, 62, 60, 56, 53, 62, 54, 60, 64, 53, 61, 58, 60, 64, 57, 56, 64, 61, 63} Use the data to answer the following questions. 1. What is the population mean of the data? 2. What is the population variance? (Round to four decimal places. Note: s^2 means s²) 3. What is the population standard deviation? (Round to four decimal places)

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**Use Technology to Find Statistical Measures**

The retirement ages of a group of steel workers are recorded below. Construct a histogram with 4 classes using Microsoft Excel, Google Sheets, or GeoGebra. You will upload the graph in the next question.

{64, 60, 57, 63, 61, 64, 50, 62, 60, 56, 53, 62, 54, 60, 64, 53, 61, 58, 60, 64, 57, 56, 64, 61, 63}

Use the data to answer the following questions:

1. What is the population mean of the data?  
   \[ \bar{x} = \]

2. What is the population variance?  
   \[ s^2 = \] (Round to four decimal places. Note: \( s^2 \) means \( \sigma^2 \))

3. What is the population standard deviation?  
   \[ s = \] (Round to four decimal places)

4. The data is 
   [ ] Skewed Left
   [ ] Symmetric
   [ ] Skewed Right

5. According to Chebyshev’s theorem, at least 88.9% of the data falls between approximately 47.62 and \[ \_ \]. (Round to the nearest hundredth.)

**[Check]**
Transcribed Image Text:**Use Technology to Find Statistical Measures** The retirement ages of a group of steel workers are recorded below. Construct a histogram with 4 classes using Microsoft Excel, Google Sheets, or GeoGebra. You will upload the graph in the next question. {64, 60, 57, 63, 61, 64, 50, 62, 60, 56, 53, 62, 54, 60, 64, 53, 61, 58, 60, 64, 57, 56, 64, 61, 63} Use the data to answer the following questions: 1. What is the population mean of the data? \[ \bar{x} = \] 2. What is the population variance? \[ s^2 = \] (Round to four decimal places. Note: \( s^2 \) means \( \sigma^2 \)) 3. What is the population standard deviation? \[ s = \] (Round to four decimal places) 4. The data is [ ] Skewed Left [ ] Symmetric [ ] Skewed Right 5. According to Chebyshev’s theorem, at least 88.9% of the data falls between approximately 47.62 and \[ \_ \]. (Round to the nearest hundredth.) **[Check]**
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