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Understanding NCEA - Using the Graphic Calculator to Solve Normal Distribution Questions.
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In this video, we have a student's query on how to calculate the probability of a normal distribution using the graphic calculator. Mr. Ong will walk through the steps required to find the probability which is actually the area under the normal curve.
Normal distribution, also known as Gaussian distribution, is a statistical distribution that is commonly used to describe random variables that have a symmetric, bell-shaped curve.
In a normal distribution, the majority of the values in a dataset cluster around the mean, with fewer values spread out to the left and right of the mean. The distribution is characterized by two parameters: the mean (µ) and the standard deviation (σ). The mean represents the central tendency of the distribution, while the standard deviation represents the spread of the distribution.
Normal distribution, also known as Gaussian distribution, is a statistical distribution that is commonly used to describe random variables that have a symmetric, bell-shaped curve.
In a normal distribution, the majority of the values in a dataset cluster around the mean, with fewer values spread out to the left and right of the mean. The distribution is characterized by two parameters: the mean (µ) and the standard deviation (σ). The mean represents the central tendency of the distribution, while the standard deviation represents the spread of the distribution.