Pregunta
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What percentage of the general U.S. population are high-school dropouts? The Statistical Abstract of the United States, 120 th Edition, gives the percentage of high-school dropouts by state. For convenience, the data are sorted in increasing order. \[ \begin{array}{c} 5,6,7,7,7,7,8,8,8,8,8,9,9,9,9,9,9,9,10,10,10,10,10,10,10,10,11,11,11,11,11,11 \\ 11,11,12,12,12,12,13,13,13,13,13,13,14,14,14,14,14,15 \end{array} \] (a) Which percentile is the value 10 ? (Round to the nearest whole value above.) 10 is the \( \square \) th percentile. (b) Find the 95th percentile on the data. Locator \( = \) \( \square \) \[ 95 \mathrm{th} \text { percentile }=14 \] (c) Find the \( Q_{1} \) value on the data. \[ \text { Locator }=13 \] \[ Q_{1}=9 \] (d) Find the Q3 value on the data. \[ \text { Locator }=\square \] \[ Q_{3}=12 \] (e) Find the \( Q_{2} \) value on the data. \[ Q_{2}=10 \] (f) Find the \( I Q R \) of the data. \[ I Q R=3 \] (g) What are the Upper and Lower limits of the boxplot? \[ \text { Upper Limit }=16.5 \] Lower Limit \( =4.5 \) (h) With five-number-summary (in the order Min = \( Q_{1}=Q_{2}-Q_{3}-\operatorname{Max} \) ) being 5-9-10=12 15 , are there any outliers? The only outlier is 5 The only outlier is 15 Outliers are 15, and 14 Outliers are 5, and 15. o No outliers

Ask by Johnson West. in the United States
Jan 23,2025

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There are no outliers in the dataset.

Solución

To determine if there are any outliers in the dataset, we'll use the **Interquartile Range (IQR)** method. Here's a step-by-step breakdown: ### Given Five-Number Summary: - **Minimum (Min)**: 5 - **First Quartile (Q₁)**: 9 - **Median (Q₂)**: 10 - **Third Quartile (Q₃)**: 12 - **Maximum (Max)**: 15 ### Calculating the IQR: \[ \text{IQR} = Q₃ - Q₁ = 12 - 9 = 3 \] ### Determining the Upper and Lower Fences: - **Lower Fence**: \[ Q₁ - 1.5 \times \text{IQR} = 9 - (1.5 \times 3) = 9 - 4.5 = 4.5 \] - **Upper Fence**: \[ Q₃ + 1.5 \times \text{IQR} = 12 + (1.5 \times 3) = 12 + 4.5 = 16.5 \] ### Identifying Outliers: - **Lower Outliers**: Any data point below **4.5**. - **Upper Outliers**: Any data point above **16.5**. ### Applying to the Dataset: \[ \begin{array}{cccccccccccc} 5, & 6, & 7, & 7, & 7, & 7, & 8, & 8, & 8, & 8, & 8, & 9, \\ 9, & 9, & 9, & 9, & 9, & 9, & 10, & 10, & 10, & 10, & 10, & 10, \\ 10, & 10, & 11, & 11, & 11, & 11, & 11, & 11, & 11, & 12, & 12, & 12, \\ 12, & 13, & 13, & 13, & 13, & 13, & 13, & 14, & 14, & 14, & 14, & 14, \\ 15 \end{array} \] - **Minimum**: 5 (≥ 4.5) - **Maximum**: 15 (≤ 16.5) Since all data points fall within the range **4.5** to **16.5**, there are **no outliers** in this dataset. ### **Answer to Part (h):** **No outliers.**

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The Deep Dive

Calculating percentiles can be a fun dive into the world of statistics! Did you know that percentiles divide a dataset into 100 equal parts? For the value of 10 in your dataset, to find its percentile rank, you first need to count how many values are below it, and then apply the formula. With 22 values below 10 in a total of 40, it means that 10 is roughly in the 55th percentile (since the rank is calculated as \((\text{Number of values below} / \text{Total values}) \times 100\))! Now onto real-world applications! Understanding dropout rates is crucial for policymakers and educators as they work to create programs aimed at boosting high school completion. These statistics can inform interventions in communities, helping to allocate resources to areas with higher dropout rates, ultimately leading to improved educational outcomes and economic growth. So next time you see those figures, remember they’re not just numbers but actionable insights!

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