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Figures for a well's daily production of oil in barrels are as follows: $$ \begin{aligned} &214,203,226,198,243,225,207,203,208 \\ &200,217,202,208,212,205,220 \end{aligned} $$ Construct a stem-and-leaf plot with stem labels \(19^{*}, 20^{*}, \ldots, 24^{*}\)

Short Answer

Expert verified
Stem-and-leaf plot complete: each stem corresponds to tens digits of the figures, and leaves are unit digits.

Step by step solution

01

Understand the Problem

We are asked to create a stem-and-leaf plot for the well's daily production figures with specified stems from 19 to 24. Each stem represents the tens digit of the production figure, and the leaves represent the units digit.
02

Sort the Data

First, sort the production figures: 198, 200, 202, 203, 203, 205, 207, 208, 208, 212, 214, 217, 220, 225, 226, 243.
03

Create Stems and Leaves

List the stems (tens digits) from 19 to 24, as specified, and associate each production figure's unit digit (leaf) to the correct stem. - Stem 19: 8 - Stem 20: 0, 2, 3, 3, 5, 7, 8, 8 - Stem 21: 2, 4, 7 - Stem 22: 0, 5, 6 - Stem 23: No data - Stem 24: 3
04

Check for Accuracy

Verify that all numbers are accounted for and each leaf correctly corresponds to the respective stem. Double-check the sorting and matching of leaves to stems.
05

Draw the Stem-and-Leaf Plot

Write the stems in a column and place the corresponding leaves next to each stem separated by space: 19 | 8 20 | 0 2 3 3 5 7 8 8 21 | 2 4 7 22 | 0 5 6 23 | 24 | 3

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Data Visualization
A stem-and-leaf plot is a simple way to display data visually. It offers an easy-to-read format that helps in understanding the distribution and shape of numerical data. Though it may sound complex, the concept is quite beginner-friendly. By splitting each data point into a stem and a leaf, you can quickly grasp important information about the dataset. For instance, in the problem, daily production figures of oil are visualized in a way that clusters similar values together.
This method is particularly beneficial when it comes to recognizing patterns. You might spot concentrations of data, identify outliers, or note trends across different ranges. It's similar to a bar graph, but often provides more granular information.
  • The stems represent the leading digits.
  • The leaves contribute the unit digits.
Such a plot is straightforward, but it packs a punch in making raw data more interpretable at a glance.
Descriptive Statistics
Descriptive statistics involves summarizing and interpreting data to uncover essential insights. In our stem-and-leaf plot example, it serves as a fundamental step in comprehending the central tendency, variation, and overall pattern of the well's production data. It’s like having a summary that tells you what’s happening with the numbers without diving deep into complex analysis.
Within this context:
  • The central tendency is indicated by the clustering of data points in particular stems. For example, lots of data in the 20s range suggest typical production around those figures.
  • Variation can be quickly assessed by observing how spread out the leaves are across the stems. A wide spread indicates more variability.
These insights are crucial for statistical analysis and inform decisions by providing a quick overview of how the data behaves daily, enabling operators to make informed corrections or enhancements.
Mathematical Notation
In mathematics, notation is the language used to express ideas precisely. In the context of a stem-and-leaf plot, it’s crucial for clearly representing data and maintaining mathematical rigor. Here, understanding mathematical notation ensures that the data is organized and interpreted correctly.
The stems, denoted by leading digits, help align values into categories based on their size.
  • Each stem represents a count for tens of barrels as shown in the example.
  • The leaves, or trailing digits, give specific values within those categories.
This notation not only clearly communicates data but also supports the sorting process in the creation of the plot. It demands accuracy since a mistake in notation could lead to incorrect data interpretation. Hence, attention to detail is vital, reinforcing the need for exactness in mathematical communication.

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