An investment website can tell what devices are used to access the site. the site managers wonder whether they should enhance the facilities for trading via "smart phones," so they want to estimate the proportion of users who access the site that way (even if they also use their computers sometimes). they draw a random sample of 300300 investors from their customers. suppose that the true proportion of smart phone users is 4242%. complete parts a through c below. a) what would you expect the shape of the sampling distribution for the sample proportion to be?

The shape of the sampling distribution for the sample proportion is going to be normal with mean and .

Step-by-step explanation:

The Central Limit Theorem estabilishes that, for a random variable X, with mean and standard deviation , a large sample size can be approximated to a normal distribution with mean and standard deviation

So the shape of the sampling distribution for the sample proportion is going to be normal with mean and .

the quotient is 4x^2 - 27x + 167 with a remainder of -996

step-by-step explanation:

in synthetic division, use -6 as the divisor and use the coefficients {4, -3, 5, 6}:

-6     )   4     -3     5     6

                -24   162 -1002

          4   -27   167   -996

thus, the quotient is 4x^2 - 27x + 167 with a remainder of -996.

note:   your "4x°-3x+5x+6" is ambiguous / incomplete.   i had to assume that you meant '4x^3 - 3x^2 + 5x + 6."

step-by-step explanation: