Assume that the population proportion is 0.48. Compute the standard error of the proportion,  σp,  for sample sizes of 500,000; 1,000,000; 5,000,000; 10,000,000; and 100,000,000. (Round your answers to five decimal places.) sample size of 500,000sample size of 1,000,000sample size of 5,000,000sample size of 10,000,000sample size of 100,000,000 What can you say about the size of the standard error of the sample proportion as the sample size is increased? The standard error of the sample proportion,  σp,   ---Select--- increases decreases and becomes extremely  ---Select--- small large as the sample size becomes huge.

Which of the following is not an aspect involved in computing the sum of products ( SP) of deviations?   a. dividing by the total number of participants   b. subtracting the total sum of squares collapsed across all scores   c. adding the total X and Y scores across all participants   d. multiplying the X and Y scores together for each participant

For this problem, carry at least four digits after the decimal in your calculations. Answers may vary slightly due to rounding. The National Council of Small Businesses is interested in the proportion of small businesses that declared Chapter 11 bankruptcy last year. Since there are so many small businesses, the National Council intends to estimate the proportion from a random sample. Let p be the proportion of small businesses that declared Chapter 11 bankruptcy last year. (a) If no preliminary sample is taken to estimate p, how large a sample is necessary to be 99% sure that a point estimate p will be within a distance of 0.08 from p? (Round you answer up to the nearest whole number.) ]× small businesses (b) In a preliminary random sample of 30 small businesses, it was found that eleven had declared Chapter 11 bankruptcy. How many more small businesses should be included in the sample to be 99% sure that a point estimate p will be within a distance of 0.080 from p? (Round your answer…

By how many times does the sample size have to be increased to decrease the margin of error by a facgtor of 1/9?