10 message If we took an SRS of 1700 people from California (population 34 million) and an SRS of 1000 people from Detroit (population 1 million) which sampling distribution would have the smaller standard deviation?

California

Step-by-step explanation:

The standard deviation of a sampling distribution also called standard error is obtained using the relation :

Standard Error = σ / sqrt(n)

Where n = sample size ; σ = population standard deviation

From the relation above, the higher the sample size of the sampling distribution, the lower the standard error because n is the denominator.

Therefore, California with a sample size of 1700 will have a lower standard error value Than Detroit with a sample size of 1000

the image of (6, 9) under a dilation is (4, 6). the scale factor is

dc=6 square root of 3 and ac is 12 square root 3

c and d

step-by-step explanation:

square root of 3/2 = 18/c

cross multiply to get 18*2=√3*c

36/√3 * √3/√3 = c

c= 36*√3/3

c=12√3