Determine whether or not the histogram indicates that a...

Name: Problem 20, Chapter 7: Statistics Informed Decisions Using Data
Uploaded: 2023-01-21T00:55:43-08:00
Duration: 54 s
Channel: Sheryl Ezze
Description: Determine whether or not the histogram indicates that a normal distribution could be used as a model for the variable. The relative frequency histogram represents the waiting times (in minutes) to ride the American Eagle Roller Coaster for 2000 randomly selected people on a Saturday afternoon in the summer.

Determine whether or not the histogram indicates that a normal distribution could be used as a model for the variable. The relative frequency histogram represents the waiting times (in minutes) to ride the American Eagle Roller Coaster for 2000 randomly selected people on a Saturday afternoon in the summer.

Determine whether or not the histogram indicates that a normal distribution could be used as a model for the variable.
The relative frequency histogram represents the waiting times (in minutes) to ride the American Eagle Roller Coaster for 2000 randomly selected people on a Saturday afternoon in the summer.

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Key Concepts

Assessing Normality Using a Histogram

To evaluate whether a dataset may follow a normal distribution, one can inspect the histogram for characteristics such as symmetry, a single peak (unimodality), and a bell shape. Departures from these features, like skewness or multiple peaks, indicate that the data may not be normally distributed, which is critical when deciding on using a normal model for analysis.

Histogram

A histogram is a graphical representation of the distribution of a dataset. It displays data by grouping scores into bins and showing the frequency or relative frequency of data points within each bin, which helps in visualizing the shape, spread, and central tendency of the data.

Normal Distribution

The normal distribution is a continuous probability distribution that is symmetric about its mean, exhibiting a bell-shaped curve. It is widely used because many natural phenomena tend to cluster around the average, and it is defined by parameters such as the mean and standard deviation that characterize its location and spread.

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