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

x is greater than 5

step-by-step explanation:

2x+7 is greater than 17

    -7                           -7

2x is greater than 10

divide by 2 each side

x is greater than 5

8

step-by-step explanation:

just put √(2) * √(32) into a calculator. that will make the answer be 8.