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Tuatara are rare, medium-sized reptiles found only in New Zealand.The length of each tuatara in a random sample of 10 female tuatara is measured giving an average length of 48.5cm with a standard deviation of 2.9cm. This information is to be used to calculate a 95% confidence interval for the true mean length of female tuatara.Use the drop-down menus to identify if the following conditions for constructing this confidence interval are satisfied or not.The sample is representative of the population.AnswerThe sampling distribution of the sample mean normal.

Question

Tuatara are rare, medium-sized reptiles found only in New Zealand.The length of each tuatara in a random sample of 10 female tuatara is measured giving an average length of 48.5cm with a standard deviation of 2.9cm. This information is to be used to calculate a 95% confidence interval for the true mean length of female tuatara.Use the drop-down menus to identify if the following conditions for constructing this confidence interval are satisfied or not.The sample is representative of the population.AnswerThe sampling distribution of the sample mean normal.

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Solution

  1. The sample is representative of the population.

Answer: This condition is generally assumed to be satisfied in statistical problems unless there is information given that suggests otherwise. In this case, there is no information suggesting that the sample is not representative of the population. Therefore, we can say this condition is satisfied.

  1. The sampling distribution of the sample mean is normal.

Answer: The Central Limit Theorem states that if the sample size is large enough (usually n > 30), the sampling distribution of the sample mean is approximately normal, regardless of the shape of the population distribution. However, in this case, the sample size is only 10, which is less than 30. Therefore, we cannot automatically assume that the sampling distribution is normal based on the Central Limit Theorem. However, the problem states that the lengths of the tuatara are normally distributed. When the population is normally distributed, the sampling distribution of the sample mean is also normal, regardless of the sample size. Therefore, we can say this condition is satisfied.

This problem has been solved

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