Determine the distribution of the data pictured below data O Bell-shaped and symmetric O Skewed-right O Skewed-left > Next Question
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.

The box plot is divided into four main parts:
1. A horizontal line (whisker) extending from the minimum value to the lower quartile (Q1).
2. A box spanning from the lower quartile (Q1) to the upper quartile (Q3), with a line inside the box indicating the median (Q2).
3. A horizontal line (whisker) extending from the upper quartile (Q3) to the maximum value.
4. Five number summary below the plot ranging from 1 to 5.
Based on the box plot, determine the distribution of the data. The data can be described based on the following options:
- Bell-shaped and symmetric: The data is approximately normally distributed with a symmetrical appearance.
- Skewed-right: The majority of the data values are on the left side, and the tail of the distribution extends to the right.
- Skewed-left: The majority of the data values are on the right side, and the tail of the distribution extends to the left.
**Select the most appropriate option and click "Next Question" to proceed.**
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This question helps students understand and analyze the distribution characteristics of a given data set using box plot visualizations.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F24e60ccc-4ff7-4507-a742-eda9c91adb36%2Fd26ecbe7-e1d3-4d93-af98-167a06662177%2Fxl04lxv_processed.jpeg&w=3840&q=75)
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