Problem: What sample size do I need to have a confidence of 90%, 95%, 99% (or close to these percentages) that the sample represents the population
Background: We are an orange grower and this problem relates to seeds in oranges. Our goal is to provide our customers with seedless oranges but the nature of oranges is that they typically have seeds. Growing practices, climate changes (too much rain, too little sun�) effects if a seed forms in an orange. I envision sampling an orchard prior to harvesting to get an accurate assessment of the % of oranges that contain seeds. A single orchard might have 1000 trees @ 100 oranges per tree (100,000 oranges per orchard). The grading would be perform by cutting an orange open and inspecting it for seeds and placing it into one of two categories � contains seeds or is seedless. Goal: I want to create a sampling program that will determine at the confidence levels above that the oranges we are providing are seedless. I have a couple of semesters of college statistics but it has been a long time since I have used any of it. Could you please describe how I can calculate a sample size with its corresponding confidence interval for the sampling goal stated above? I want to be able to say something similar to - "I am 95% confident that 2% of the oranges in this orchard have seeds" . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
