Information: We have been working diligently during this course to round answers to a given place value or number of decimal places. However, when determining sample size, we must round the calculated answer UP to the next whole unit, no matter what the normal rules would tell us to do. Why is this? Because our samples are discrete data, and there is no such thing as 0.24 of a person, 0.79 of a car, or 0.51 of a light bulb. In order to meet the minimum sample size, we must always round up to the next whole thing. Here's another way to think of it. If we need to move 72 people by bus, and each bus holds 50 people, how many buses do we need? 72/50 = 1.44 buses. Can we call a charter company and ask for 1.44 buses? By the normal rounding rules, we'd only need one bus. But, if we hire one bus, only 50 people can ride, and 28 are left standing on the sidewalk. So, we'd request two buses. Sample sizes work the same way, just with a more complicated process. Questions A) If the calculation shows a required minimum sample size of 98.62, what is the sample size to the next whole number? B) If the calculation shows a required minimum sample size of 497.012, what is the minimum sample size? C) If the calculation shows a minimum sample size of 1461.986, what is the minimum required sample size? D) If the calculation shows a required minimum sample size of 300.0023, what is the minimum sample size? E) If the answer to the calculation for sample size is 542, what is the minimum sample size