Here are the essential concepts you must grasp in order to answer the question correctly.
Standard Normal Distribution
The standard normal distribution is a special normal distribution with a mean of 0 and a standard deviation of 1. It is used to describe how data points are distributed in a standardized way, allowing for comparison across different datasets. The area under the curve represents probabilities, with the total area equaling 1.
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Z-scores
A Z-score indicates how many standard deviations a data point is from the mean of a distribution. It is calculated by subtracting the mean from the data point and dividing by the standard deviation. In the context of the standard normal distribution, a Z-score of -1.95 means the value is 1.95 standard deviations below the mean.
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Area Under the Curve
The area under the curve of a probability distribution represents the likelihood of a random variable falling within a particular range. For the standard normal distribution, this area can be found using Z-tables or technology, such as statistical software, to determine probabilities associated with specific Z-scores.
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