Note that the proportion of students who went home for winter break was 0.35 (or 35%). briefly explain why it would not be appropriate to refer to the 0.35 proportion as a parameter

Is not appropiate to refer a estimation or a statistic as a paramter because the statistic just give informaation about the sample selected and not about all the population of interest. What we can do is inference with this sample proportion or confidence intervals in order to see on what limits our real parameter of interest p lies.

Step-by-step explanation:

Description in words of the parameter p

represent the real population proportion of students who went Home for winter break

represent the estimated proportion of students who went Home for winter break

n is the sample size selected  

The population proportion have the following distribution  

Solution to the problem

For this case we assume that the proportion given 0.35 is an estimation for the real parameter of interest p, that means

On this case the estimated proportion is calculated from the following formula:

Where X are the people in the sam with the characteristic desired (students who went Home for winter break) and n the sample size selected.

Is not appropiate to refer a estimation or a statistic as a paramter because the statistic just give informaation about the sample selected and not about all the population of interest. What we can do is inference with this sample proportion or confidence intervals in order to see on what limits our real parameter of interest p lies.

it would be 6xy and -16xy.

x = 17

step-by-step explanation:

1st step: isolate x.

24 - 3x = -27

-24         -24

-3x   =   -51

2nd step: divide.

-3x     =   -51

  3             3

  x       =     17

hope this