Based on the relative frequency histogram below, which of the following statements is correct? 0.4 0.3 0.2 0.1 10 20 30 40 O The IQR of the distribution is about 10. The distribution is multimodal. O It is not possible to estimate the median without knowing the sample size. O The mean of the distribution is smaller than its median. O There are no outliers in the distribution. relative frequency

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
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Chapter8: Linear Functions
Section8.6: Writing Linear Equations
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### Understanding Relative Frequency Histograms

In this section, we will explore the concept of relative frequency histograms and their interpretation through a specific example.

#### Histogram Interpretation Example

*Based on the relative frequency histogram below, which of the following statements is correct?*

[Image of Relative Frequency Histogram]

**Histogram Details:**
- **X-Axis (Horizontal):** Ranges from 0 to 40, representing the data values.
- **Y-Axis (Vertical):** Ranges from 0 to 0.4, representing the relative frequency of the data values.
- The histogram contains several bars of varying heights that represent different ranges of data.
  - The tallest bar is located in the range of 5 to 10 with a relative frequency peak at approximately 0.35.

#### Explanation of the Options:

1. **The IQR of the distribution is about 10.**
   - **IQR (Interquartile Range)** is a measure of statistical dispersion and indicates the range within which the middle 50% of the data lie. It is difficult to precisely determine the IQR from only the histogram without additional data points.

2. **The distribution is multimodal.**
   - **Multimodality** indicates the presence of multiple peaks or modes in the data. Observing the histogram, there is more than one peak at various intervals, making this option correct.

3. **It is not possible to estimate the median without knowing the sample size.**
   - **Median Estimation** typically does require knowledge of the sample size, but in this context, it can be inferred from the histogram's data distribution.

4. **The mean of the distribution is smaller than its median.**
   - **Mean vs. Median** examines the central tendency of the data. The histogram's skewness could suggest whether the mean is smaller than the median; however, further calculation or more data is usually needed for confirmation.

5. **There are no outliers in the distribution.**
   - **Outliers** are data points significantly different from others in the dataset. While the histogram appears to have some bars at the tail end, a definitive conclusion regarding outliers requires further statistical analysis.

**Correct Answer:**
- The distribution is multimodal.

This instance emphasizes the importance of correctly interpreting histograms to understand the underlying data distribution efficiently.
Transcribed Image Text:### Understanding Relative Frequency Histograms In this section, we will explore the concept of relative frequency histograms and their interpretation through a specific example. #### Histogram Interpretation Example *Based on the relative frequency histogram below, which of the following statements is correct?* [Image of Relative Frequency Histogram] **Histogram Details:** - **X-Axis (Horizontal):** Ranges from 0 to 40, representing the data values. - **Y-Axis (Vertical):** Ranges from 0 to 0.4, representing the relative frequency of the data values. - The histogram contains several bars of varying heights that represent different ranges of data. - The tallest bar is located in the range of 5 to 10 with a relative frequency peak at approximately 0.35. #### Explanation of the Options: 1. **The IQR of the distribution is about 10.** - **IQR (Interquartile Range)** is a measure of statistical dispersion and indicates the range within which the middle 50% of the data lie. It is difficult to precisely determine the IQR from only the histogram without additional data points. 2. **The distribution is multimodal.** - **Multimodality** indicates the presence of multiple peaks or modes in the data. Observing the histogram, there is more than one peak at various intervals, making this option correct. 3. **It is not possible to estimate the median without knowing the sample size.** - **Median Estimation** typically does require knowledge of the sample size, but in this context, it can be inferred from the histogram's data distribution. 4. **The mean of the distribution is smaller than its median.** - **Mean vs. Median** examines the central tendency of the data. The histogram's skewness could suggest whether the mean is smaller than the median; however, further calculation or more data is usually needed for confirmation. 5. **There are no outliers in the distribution.** - **Outliers** are data points significantly different from others in the dataset. While the histogram appears to have some bars at the tail end, a definitive conclusion regarding outliers requires further statistical analysis. **Correct Answer:** - The distribution is multimodal. This instance emphasizes the importance of correctly interpreting histograms to understand the underlying data distribution efficiently.
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