Normal Distribution
Flashcard
•
Mathematics
•
12th Grade
•
Practice Problem
•
Hard
+3
Standards-aligned
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15 questions
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1.
FLASHCARD QUESTION
Front
What is a Normal Distribution?
Back
A Normal Distribution is a continuous probability distribution characterized by a symmetric bell-shaped curve, where most of the observations cluster around the central peak and probabilities for values further away from the mean taper off equally in both directions.
Tags
CCSS.HSS.MD.A.3
CCSS.HSS.MD.A.4
2.
FLASHCARD QUESTION
Front
What are the key parameters of a Normal Distribution?
Back
The key parameters of a Normal Distribution are the mean (μ), which indicates the center of the distribution, and the standard deviation (σ), which measures the spread or dispersion of the distribution.
Tags
CCSS.6.SP.A.3
3.
FLASHCARD QUESTION
Front
What is the Empirical Rule (68-95-99.7 Rule)?
Back
The Empirical Rule states that for a normal distribution: about 68% of the data falls within one standard deviation of the mean, about 95% falls within two standard deviations, and about 99.7% falls within three standard deviations.
Tags
CCSS.HSS.ID.A.4
4.
FLASHCARD QUESTION
Front
How do you calculate the z-score?
Back
The z-score is calculated using the formula: z = (X - μ) / σ, where X is the value, μ is the mean, and σ is the standard deviation.
5.
FLASHCARD QUESTION
Front
What does a z-score represent?
Back
A z-score represents the number of standard deviations a data point is from the mean. A positive z-score indicates the value is above the mean, while a negative z-score indicates it is below the mean.
6.
FLASHCARD QUESTION
Front
What is the significance of the 50th percentile in a Normal Distribution?
Back
The 50th percentile, also known as the median, is the value that separates the higher half from the lower half of the data set. In a normal distribution, it is equal to the mean.
Tags
CCSS.HSS.ID.A.4
7.
FLASHCARD QUESTION
Front
What is the area under the curve in a Normal Distribution?
Back
The total area under the curve of a normal distribution is equal to 1, representing the total probability of all outcomes.
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