From the course: SPSS for Academic Research

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Sample size considerations

Sample size considerations - SPSS Statistics Tutorial

From the course: SPSS for Academic Research

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Sample size considerations

- [Instructor] You might still be a bit confused about sample size. For example maybe you're askin', how did the author come up with 100 observations? There are billions of women in the world. How can the average height be determined by a sample of 100? Well you're not wrong to question that. More than anything your sample size will come down to how many resources you have. Do you have sufficient time? Do you have enough people to go around and take these samples? When you scale up, how are you going to confirm randomness in your study? These are the kinds of kinks that you have to work out with your team when you design your experiment. The guiding principle is that the larger the sample size, the closer your sample statistic will be to the actual population parameter. Now imagine this. What if you had two populations, one of men and one of women? The men's population is one billion. The women's population is five billion. If you took a sample size of 10% from the men's population…

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