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Name Date Block Section 13.4 Box Plots Use the box plot for problems 1 3. 1. Identify what each value stands for. 30 F is the 34 F is the 38 F is the 46 F is the 50 F is the 2. Find the range of the
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How to fill out section 134 box plots

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How to fill out section 134 box plots:

01
Gather the necessary data: To fill out section 134 box plots, you will need a set of numerical data. This data could represent a specific variable, such as test scores or sales figures, that you want to analyze using box plots.
02
Determine the minimum, maximum, and median values: Start by identifying the minimum and maximum values in your data set. These values represent the lower and upper whiskers of the box plot. Additionally, calculate the median value, which represents the center of the box.
03
Find the first and third quartiles: Calculate the first quartile, which is the median of the lower half of the data set. Similarly, find the third quartile, which is the median of the upper half of the data set. These quartiles help to define the boundaries of the box in the box plot.
04
Draw the box plot: Begin by drawing a number line that includes the minimum and maximum values of your data. Then, plot the median by drawing a line across the number line. Next, construct a box around the median, extending to the first and third quartiles. Finally, draw whiskers that extend from the box to the minimum and maximum values, representing the spread of the data.

Who needs section 134 box plots:

01
Researchers and statisticians: Section 134 box plots are commonly used in the field of statistics for visualizing and analyzing data distribution. Researchers and statisticians use box plots to identify patterns, outliers, and skewness in the data.
02
Data analysts: Data analysts often deal with large amounts of numerical data. Box plots provide a concise summary of the data distribution, making it easier for analysts to make comparisons and identify key insights.
03
Decision-makers and management: Section 134 box plots can be valuable tools for decision-makers and management in various industries. By visualizing the distribution of data, box plots help them understand trends, make informed decisions, and evaluate the performance of different variables within their organization.
04
Educators: Teachers and educators use box plots to teach statistical concepts and to help students understand and interpret data. Box plots provide a visual representation that can aid in learning and comprehending statistical analysis.
In conclusion, filling out section 134 box plots involves gathering data, determining key values, and drawing the plot. Various professionals, including researchers, data analysts, decision-makers, and educators, benefit from section 134 box plots for analyzing data and making informed decisions.
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Section 134 box plots are a graphical representation of the distribution of a dataset along five key values: minimum, first quartile (Q1), median, third quartile (Q3), and maximum.
Section 134 box plots may need to be filed by individuals or organizations mandated by regulatory bodies or stakeholders to provide visual summaries of their data distributions.
To fill out section 134 box plots, one must first calculate the minimum, Q1, median, Q3, and maximum values from their dataset. These values are then used to create the box and whisker plot accordingly.
The purpose of section 134 box plots is to visually display the distribution, central tendency, and spread of a dataset in a concise and informative manner.
Section 134 box plots typically report the minimum, Q1, median, Q3, maximum values, as well as any outliers or data points falling outside of the whiskers.
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