Normal Distribution:Properties, finding probability of normal distribution, calculation of Z score

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  • Опубліковано 4 лип 2024
  • This video explains about Normal Distribution: Properties, finding probability of normal distribution, calculation of Z score and normal distribution question and solution
    Topics covered in this video:
    1. Concept of normal distribution with examples.
    2. The properties of a normal distribution and how it differs from other distributions.
    3. How to calculate the mean and standard deviation of a normal distribution.
    4. How to use a z-table to find probabilities for a normal distribution.
    5. Practice problem
    In a class of 60 students, the average height of students is found to be 165 cm and the standard deviation is 25 cm. A student is selected at random what is the probability that,:
    a) Height is more than 172 cm?
    b) Height less than 160 cm?
    c) Height lying between 158 cm and 175 cm?
    d) Height is more than 152 cm?
    e) Height is less than 170 cm?
    Part II: Normal Distribution Calculation
    • Part II: Normal Distri...
    Normal Distribution:
    The normal distribution is a probability distribution that is commonly used in statistics. It has a bell shape and is symmetrical around its mean. The mean, median and mode are all equal and located at the center of the distribution. About 68% of data falls within one standard deviation of the mean, about 95% of data falls within two standard deviations of the mean, and about 99.7% of data falls within three standard deviations of the mean.
    Properties of normal distribution:
    A normal distribution is a continuous probability distribution that has a bell-shaped curve. It is also known as a Gaussian distribution.
    Some of the key properties of a normal distribution include:
    The mean, median, and mode are all equal and located at the center of the distribution.
    The distribution is symmetric about the mean-half the values fall below the mean and half above the mean.
    The total area under the curve is equal to 1.
    The curve is asymptotic, meaning that it approaches but never touches the x-axis.
    Time stamp
    00:18 Introduction - Normal Distribution
    00:36 What is Normal Distribution? Examples of Normal Distribution
    01:39 Properties of Normal Distribution
    03:19 Calculation of Mean and Standard Deviation of normal distribution
    05:12 Finding probability of normal distribution using Z-table
    06:08 Calculation: Problem & Solution
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