Question

if small sample size is 13 then degree of freedom is​

Answer 1

Degrees of freedom are related to sample size (n-1). If the df increases, it also stands that the sample size is increasing; the graph of the t-distribution will have skinnier tails, pushing the critical value towards the mean.

Answer 2

Answer:

The degree of freedom is 12

Degree of freedom = Sample size, where Degree of freedom is the connection between the two variables (n - 1) where the sample size is n They have said that there are 13 samples. Given by = (n - 1) = (13 - 1) = 12 is the degree of freedom. Consequently, there are 12 degrees of freedom.

Step-by-step explanation:

The number of degrees of freedom in statistics refers to the number of values that can fluctuate in a statistic's final computation.

Various amounts of data or information can be used to estimate statistical parameters. The degree of freedom refers to the number of independent data points used to estimate a parameter. The number of independent scores that are utilized in an estimate of a parameter, minus the number of parameters used as intermediary stages in the estimation of the parameter itself, is generally considered to be the measure of the degree of freedom of the estimate.

For instance, if the variance is to be calculated from a random sample of N independent scores, then the degrees of freedom is equal to N independent scores minus 1 parameter determined as an intermediary step, or N 1.

Degrees of freedom in mathematics is the number of dimensions in a random vector's domain, or effectively the number of "free" components (how many components need to be known before the vector is fully determined).

The phrase is most frequently used in relation to linear models (linear regression, analysis of variance), where certain random vectors are required to reside in linear subspaces, with the dimension of the subspace being the number of degrees of freedom. The squared lengths (or "sum of squares" of the coordinates) of such vectors, as well as the parameters of the chi-squared and other distributions that emerge in related statistical testing issues, are also frequently linked to the degrees of freedom.

Although degrees of freedom may be introduced as distribution parameters or by hypothesis testing in basic textbooks, the underlying geometry is what defines degrees of freedom and is essential to a thorough comprehension of the idea.

learn more about it

1. brainly.in/question/37162410
2. brainly.in/question/8049608

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