Asked by Deniza Marcinkevica on May 29, 2024

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The shape of the normal distribution is determined by its mean The shape of the normal distribution is determined by its mean   and its standard deviation   . and its standard deviation The shape of the normal distribution is determined by its mean   and its standard deviation   . .

Normal Distribution

A symmetrical probability distribution centered around the mean, indicating that occurrences of data points close to the mean are more common than those far from it.

Standard Deviation

An indicator of the range or spread of a group of numbers.

Mean

The average of a set of numbers, calculated by adding all values together and dividing by the number of values, a central measure of location in statistics.

  • Ascertain the likelihood of sample means within the context of normal distribution suppositions.
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besmillah aahangaranJun 01, 2024
Final Answer :
True
Explanation :
The mean and standard deviation play a crucial role in determining the shape of the normal distribution. Specifically, the mean determines the central location of the distribution, while the standard deviation determines its spread or variability. Therefore, the statement is true.