The number of degrees of freedom is large, then the student's T distribution is close to the normal distribution.
The degrees of freedom is the number of observation in a sample that are free to vary when we estimate the statistical data. Degree of freedom will also indicate the independent piece of information in the data.
Basically, the T distribution or student's distribution is a family's of distribution that look identical to the normal distribution.
So, the number of degrees of the freedom is large then it will closely related to normal distribution.
To know more about degrees of freedom here.
brainly.com/question/16254305
#SPJ4
Population size:9
Lower quartile (xL): 3.5
Upper quartile (xU): 7
<span>Interquartile range (xU-xL): 3.5</span>
