What are the attributes of the student distribution?
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What are the attributes of the student distribution?
The attributes of the student distribution include:
1. Symmetry: The student distribution is symmetric around its mean.
2. Tails: The tails of the student distribution are thicker than those of the normal distribution.
3. Degrees of freedom: The shape of the student distribution depends on the degrees of freedom.
4. Spread: The spread of the student distribution is greater than that of the normal distribution.
5. Confidence intervals: The student distribution is used to calculate confidence intervals for small sample sizes.
6. Central limit theorem: The student distribution is used in the central limit theorem to estimate the population mean when the sample size is small.
1. Symmetry: The student distribution is symmetric around its mean.
2. Tails: The tails of the student distribution are thicker than those of the normal distribution.
3. Degrees of freedom: The shape of the student distribution depends on the degrees of freedom.
4. Spread: The spread of the student distribution is greater than that of the normal distribution.
5. Confidence intervals: The student distribution is used to calculate confidence intervals for small sample sizes.
6. Central limit theorem: The student distribution is used in the central limit theorem to estimate the population mean when the sample size is small.
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