Areal estate agent wants to know how many owners of homes worth over $1,000,000 might be considering putting their home on the market in the next 12 months. he surveys 8585 of them and finds that 2121 of them are considering such a move. are all the assumptions and conditions for finding the sampling distribution of the proportion satisfied? explain briefly.

NO

Step-by-step explanation:

The changeability of a sampling distribution is measured by its variance or its standard deviation. The changeability of a sampling distribution depends on three factors:

We know the following about the sampling distribution of the mean. The mean of the sampling distribution (μ_x) is equal to the mean of the population (μ). And the standard error of the sampling distribution (σ_x) is determined by the standard deviation of the population (σ), the population size (N), and the sample size (n). That is

μ_x=p

σ_x== [ σ / sqrt(n) ] * sqrt[ (N - n ) / (N - 1) ]

In the standard error formula, the factor sqrt[ (N - n ) / (N - 1) ] is called the finite population correction. When the population size is very large relative to the sample size, the finite population correction is approximately equal to one; and the standard error formula can be approximated by:

σ_x = σ / sqrt(n).

the answer is 844

step-by-step explanation:

it is 844 because if you add 836.50 + 7.5 you will get 844