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What is the most common type of chart for showing the distribution of a numerical variable? Column chart Histogram Two-way table Pie chart

Ask by Bowen Watson. in the United States
Mar 10,2025

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The most common type of chart for showing the distribution of a numerical variable is a **Histogram**.

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The most common type of chart for showing the distribution of a numerical variable is a **Histogram**. ### Explanation: - **Histogram**: This chart is specifically designed to display the frequency distribution of numerical data. It groups data into bins or intervals and shows how many data points fall into each bin, making it easy to visualize the distribution of the variable. - **Column Chart**: While it can show data distribution, it is more commonly used for categorical data rather than numerical distributions. - **Two-way Table**: This is used to display the relationship between two categorical variables, not for numerical distributions. - **Pie Chart**: This chart is used to show proportions of a whole, typically for categorical data, and is not suitable for displaying the distribution of numerical variables. Thus, the correct answer is **Histogram**.

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Beyond the Answer

A histogram is like the party planner of the data world, creating a visual gathering for numerical variables! It bins the data into intervals (or "party rooms"), showing how many data points fall into each one. This makes it super easy to see where the majority of your data lies, as well as any interesting peaks or gaps—perfect for spotting trends and distributions! While column charts are great for comparing categories and pie charts let you slice the data like a pizza, histograms truly shine when it comes to displaying distributions. They help you understand how your data is spread out—whether it's a bell curve, skewed, or has multiple peaks. So next time you're wrangling numbers, remember to invite a histogram to the party!

preguntas relacionadas

Question 12(Mulliple Choice Warth 5 points) \[ (04.06 \mathrm{HC}) \] A researcher wants to test the claim that the proportion of juniors who watch television regularly is greater than the proportion of seniors who watch television regularly She finds that 56 of 70 randomly selected juniors and 47 of 85 randomly selected seniors report watching television regularly. Construct \( 95 \% \) confidence intervals for each population proportion. Which of the statemente gives the correct outcome of the research or's tert of the dalim? The \( 95 \% \) confidence interval for juniors is (706, 894), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is (721, 879), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( 706,894 ), and the \( 95 \% \) confidence interval for seniors is ( 447,659 ). Since the interval for juniors is higher than the interval for seniors, there is evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors. The \( 95 \% \) confidence interval for juniors is ( \( 721, .879 \) ), and the \( 95 \% \) confidence interval for seniors is (464, 642). Since the intervals overlap, there is not enough evidence to say the proportion of juniors who watch television regularly may be higher than that of seniors.

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