Sam and Carmen want to find the mean weight of cats at their local pet adoption center. So they each randomly select cats at the shelter and measure the weights.The results are shown below (in pounds). Use the data to answer the questions.Sam's sample:10, 15, 12, 11, 20Carmen's sample:5, 13, 7, 11(a) What is the sample size for Sam's sample?(b) What is the sample size for Carmen's sample?(c) Suppose you had to choose one sample to estimate the mean.Which sample is more likely to give a good estimate of the mean?Sam's sampleCarmen's sampleWhy?It has the smaller mean.It has the larger mean.It has the smaller sample size.It has the larger sample size.
Question
Sam and Carmen want to find the mean weight of cats at their local pet adoption center. So they each randomly select cats at the shelter and measure the weights.The results are shown below (in pounds). Use the data to answer the questions.Sam's sample:10, 15, 12, 11, 20Carmen's sample:5, 13, 7, 11(a) What is the sample size for Sam's sample?(b) What is the sample size for Carmen's sample?(c) Suppose you had to choose one sample to estimate the mean.Which sample is more likely to give a good estimate of the mean?Sam's sampleCarmen's sampleWhy?It has the smaller mean.It has the larger mean.It has the smaller sample size.It has the larger sample size.
Solution
(a) The sample size for Sam's sample is 5, because there are 5 data points (weights of cats) in his sample.
(b) The sample size for Carmen's sample is 4, because there are 4 data points (weights of cats) in her sample.
(c) To choose one sample to estimate the mean, it's not about the smaller or larger mean, or the smaller or larger sample size. It's about the sample that is more representative of the population. In this case, without additional information, it's hard to determine which sample is more representative. However, if we only consider the sample size, Sam's sample would be a better choice because it has a larger sample size, which generally leads to a more accurate estimate of the population mean.
Similar Questions
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