Annual incomes are known to have a distribution that is skewed to the right instead of being normally distributed. assume that we collect a large (ngreater than30) random sample of annual incomes. can the distribution of incomes in that sample be approximated by a normal distribution because the sample is large? why or why not?

No.

Step-by-step explanation:

According to the central limit theorem,

Then the distribution of sample means can be approximated by a normal distribution. And the mean of this distribution converges true mean of annual incomes.

But distribution of annual incomes inside a sample may not be normal.

start with a line segment pq that we will copy. mark a point r that will be one endpoint of the new line segment. set the compasses' point on the point p of the line segment to be copied. adjust the compasses' width to the point q. the compasses' width is now equal to the length of the line segment pq.

step-by-step explanation:

nlgqer

step-by-step