Asampling distribution for a sample mean is made up of many from many from a population. the distribution is centered at the the standard deviation of all the sample means is called the

Step-by-step explanation:

Given is a statement with fill in the blanks and we are to fill up them suitably.

Recollect central limit theorem that states that the mean of all sample means will follow a normal distribution irrespective of the original distribution of the sample provided the samples are drawn at random and for large sample sizes.

Using that we can say that

A sampling distribution for a sample mean is made up of many __sample means calculated from many random samples from a population. The distribution is centered at the mean of sample mean . The standard deviation of all the Sample Means is called the Standard error. .

b is the answer that makes most sense

step-by-step explanation:

solution:

we have to construct

∠m nt ≅ ∠p qr

the steps to draw this construction are

step 1: use a compass to draw an arc from point q which intersects the side pq at point a and the side qr at point b.

step 2: draw a segment nt and use the same width of the compass to draw an arc from point n which intersects the segment nt at a point x.

step 3:

step 4: join points n and y using a straightedge.

step 3:

option (d).maintaining the same width of the compass as ab, draw an arc from point x such that it intersects the arc drawn from n in a point y.

to draw   congruent angles , 1. width of compasses while drawing two angles should be same i.e from point at which angle has to be drawn, 2.the distance between the two points where the compass intersects the two sides should be same while drawing any two congruent angles.