Respuesta :

Answer:

For this case assuming that the random variable is X

[tex] df = n-1 [/tex]

And replacing n = 24 we got:

[tex] df = 24-1=23[/tex]

And we notate the distribution we got: [tex] X \sim t_{n-1}= t_{23}[/tex]

Step-by-step explanation:

Previous concepts

The t distribution (Student’s t-distribution) is a "probability distribution that is used to estimate population parameters when the sample size is small (n<30) or when the population variance is unknown".

The shape of the t distribution is determined by its degrees of freedom and when the degrees of freedom increase the t distirbution becomes a normal distribution approximately.  

The degrees of freedom represent "the number of independent observations in a set of data. For example if we estimate a mean score from a single sample, the number of independent observations would be equal to the sample size minus one."

Solution to the problem

For this case assuming that the random variable is X

[tex] df = n-1 [/tex]

And replacing n = 24 we got:

[tex] df = 24-1=23[/tex]

And we notate the distribution we got: [tex] X \sim t_{n-1}= t_{23}[/tex]

ACCESS MORE