What is the difference between t-distribution and normal distribution?
The t-distribution is used for smaller sample sizes and has heavier tails, while the normal distribution is used for larger samples.
Why would I use t-distribution instead of normal distribution?
You would use t-distribution when your sample size is small (typically less than 30) and the population standard deviation is unknown.
Can you explain the concept of degrees of freedom in t-distribution?
Degrees of freedom in t-distribution refer to the number of independent values that can vary in the calculation, often calculated as sample size minus one.
How do the shapes of t-distribution and normal distribution compare?
The t-distribution is similar to the normal distribution but has thicker tails, which means it accounts for more variability in smaller samples.
When does the t-distribution approach the normal distribution?
As the sample size increases, the t-distribution approaches the normal distribution, typically becoming indistinguishable at around 30 samples.
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