SAMPLING DISTRIBUTION

  1. Sampling Distribution

    A computer scanner can read a bar code on a package correctly 97% of the time. One company monitors the accuracy of the scanner by randomly sampling packages and verifying that each package has been correctly scanned. Random samples of size n = 25, 50, 100, and 200 have recently been taken with the following results.


    Sample Size, n Number Correctly Scanned 

    2524

    5049

    10095

    200193

    To complete this activity, use Excel to:


    Calculate the sample proportion for each sample size. 

    Calculate the single-proportion sampling error for each sample size. 

    Calculate the probability of finding 198 correctly scanned packages, for a sample of size n=200. 

    Submit your work Excel file.