### Understanding the Distribution of Prices for HD TelevisionsThe graph below illustrates a normal distribution for the prices paid for a particular model of HD television. The mean price paid is $1000 and the standard deviation is $55.#### Normal Distribution Graph![Distribution of Prices](image-url-here) **Description:**The graph shows a bell-shaped curve, which is characteristic of a normal distribution. The x-axis represents the distribution of prices ranging from $835 to $1165, while the peak of the curve represents the mean price of $1000. **Key Points on the Graph:**- **835**: Represents the lower bound of the data range on the x-axis.- **890**: A point below the mean price by 2 standard deviations.- **945**: A point below the mean price by 1 standard deviation.- **1000**: The mean price paid.- **1055**: A point above the mean price by 1 standard deviation.- **1110**: A point above the mean price by 2 standard deviations.- **1165**: Represents the upper bound of the data range on the x-axis.#### Questions1. **What is the approximate percentage of buyers who paid between $890 and $1000?** _______ %2. **What is the approximate percentage of buyers who paid between $945 and $1055?** _______ %3. **What is the approximate percentage of buyers who paid between $835 and $1000?** _______ %4. **What is the approximate percentage of buyers who paid more than $1110?** _______ %5. **What is the approximate percentage of buyers who paid less than $835?** _______ %6. **What is the approximate percentage of buyers who paid between $1000 and $1055?** _______ %This graphical representation is crucial for understanding how prices vary around the mean, showcasing the likelihood and spread of different prices within the dataset. By analyzing this distribution, we can answer the questions above, providing insights into the purchasing behaviors and price trends for this HD television model.

Hey, since there are multiple subparts posted, we will answer first three subparts. If you want any…

The graph illustrates a normal distribution for the prices paid for a particular model of HD television. The mean price paid is $1000 and the standard deviation is $55. 835 890 945 1000 1055 1110 1165 Distribution of Prices What is the approximate percentage of buyers who paid between $890 and $1000? What is the approximate percentage of buyers who paid between $945 and $1055? What is the approximate percentage of buyers who paid between $835 and $1000? What is the approximate percentage of buyers who paid more than $1110? What is the approximate percentage of buyers who paid less than $835? What is the approximate percentage of buyers who paid between $1000 and $1055?

The graph illustrates a normal distribution for the prices paid for a particular model of HD television. The mean price paid is $1000 and the standard deviation is $55. 835 890 945 1000 1055 1110 1165 Distribution of Prices What is the approximate percentage of buyers who paid between $890 and $1000? What is the approximate percentage of buyers who paid between $945 and $1055? What is the approximate percentage of buyers who paid between $835 and $1000? What is the approximate percentage of buyers who paid more than $1110? What is the approximate percentage of buyers who paid less than $835? What is the approximate percentage of buyers who paid between $1000 and $1055?

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

### Understanding the Distribution of Prices for HD Televisions

The graph below illustrates a normal distribution for the prices paid for a particular model of HD television. The mean price paid is $1000 and the standard deviation is $55.

#### Normal Distribution Graph

![Distribution of Prices](image-url-here)

**Description:**
The graph shows a bell-shaped curve, which is characteristic of a normal distribution. The x-axis represents the distribution of prices ranging from $835 to $1165, while the peak of the curve represents the mean price of $1000.

**Key Points on the Graph:**
- **835**: Represents the lower bound of the data range on the x-axis.
- **890**: A point below the mean price by 2 standard deviations.
- **945**: A point below the mean price by 1 standard deviation.
- **1000**: The mean price paid.
- **1055**: A point above the mean price by 1 standard deviation.
- **1110**: A point above the mean price by 2 standard deviations.
- **1165**: Represents the upper bound of the data range on the x-axis.

#### Questions

1. **What is the approximate percentage of buyers who paid between $890 and $1000?**

_______ %

2. **What is the approximate percentage of buyers who paid between $945 and $1055?**

_______ %

3. **What is the approximate percentage of buyers who paid between $835 and $1000?**

_______ %

4. **What is the approximate percentage of buyers who paid more than $1110?**

_______ %

5. **What is the approximate percentage of buyers who paid less than $835?**

_______ %

6. **What is the approximate percentage of buyers who paid between $1000 and $1055?**

_______ %

This graphical representation is crucial for understanding how prices vary around the mean, showcasing the likelihood and spread of different prices within the dataset. By analyzing this distribution, we can answer the questions above, providing insights into the purchasing behaviors and price trends for this HD television model.

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