From a very large (essentially infinite) population, of which half are men and half are women, you take a random sample, with replacement. Use the provided random number table and assume each single digit represents selection of one person; the odd numbers represent women and the even numbers (0, 2, 4, 6, 8) represent men. Complete parts (a) through (c) below. E Click the icon for a table of random numbers. a. Start on the left side of the top line (with 598) and count 10 people. What percentage of the sample will be men? O% (Type an integer or a decimal. Do not round.) b. Start in the middle of the second line (with 453) and count 20 people. What percentage of the sample will be men? O% (Type an integer or a decimal. Do not round.) c. If parts (a) and (b) were repeated many times, which sample would typically come closer to 50% - the sample of 10 or the sample of 20? Why? OA. Both samples will have about the same precision, because the precision of p depends only on the population size. The larger the population, the more precise the estimate. OB. The sample of 10 would be more likely to have a proportion close to 50%, because the precision of p depends only on the size of the sample. The estimate is more precise if the sample is smaller. OC. The sample of 20 would be more likely to have a proportion close to 50%, because the precision of p depends only on the size of the sample. The estimate is more precise if the sample is larger. OD. The sample of 10 would be more likely to have a proportion close to 50%, because the sample of 20 is too large relative to the population to be reliable. O Random Number Table 59888 13525 83577 43901 07948 32452 01477 45311 15107 99770 58768 88407 Print Done

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.