Answer:
As given below.
Step-by-step explanation:
1. The t-distribution is based and dependent on the sample size.
2. The t-distribution is more valued at the extremes thus has a standard normal distribution.
3. The t-distribution is bell-shaped and is centered at 0.
4. The t-distribution is a kind of bell-shaped and is centered at its degrees of freedom.
5. With larger samples, the t-distribution is close to the normal distribution.
- Being symmetric in shape and a bell-shaped distribution of the normal distribution this is more prone to produce the values that are found its mean.
- Its an estimation of the unknown parameters and uncertainty of data. In case the deviation of the errors was known, the normal distribution would be used instead of the t-distribution or student's distribution.