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The distribution of amount spent per purchase in 2020 at Japanese convenience stores, called konbini, is skewed to the right with mean 670 Japanese yen and standard deviation 360 yen. A random sample of 36 customer receipts from all purchases at konbini in 2020 was selected, and the mean purchase amount was calculated. Suppose the process of randoml selecting 36 customer receipts from purchases at konbini in 2020 was repeated to obtain the sampling distribution of the sample mean. Which of the following is the best description of this distribution? (A) The distribution is skewed to the right with mean 670 yen and standard deviation 360 yen. (B) The distribution is skewed to the right with mean 670 yen and standard deviation 60 yen. (C) The distribution is approximately normal with mean 670 yen and standard deviation 60 yen. (D) The distribution is approximately normal with mean 670 yen and standard deviation 36 yen. (E) The distribution is approximately normal with mean 670 yen and standard deviation 10 yen.

Question

The distribution of amount spent per purchase in 2020 at Japanese convenience stores, called konbini, is skewed to the right with mean 670 Japanese yen and standard deviation 360 yen. A random sample of 36 customer receipts from all purchases at konbini in 2020 was selected, and the mean purchase amount was calculated. Suppose the process of randoml selecting 36 customer receipts from purchases at konbini in 2020 was repeated to obtain the sampling distribution of the sample mean. Which of the following is the best description of this distribution? (A) The distribution is skewed to the right with mean 670 yen and standard deviation 360 yen. (B) The distribution is skewed to the right with mean 670 yen and standard deviation 60 yen. (C) The distribution is approximately normal with mean 670 yen and standard deviation 60 yen. (D) The distribution is approximately normal with mean 670 yen and standard deviation 36 yen. (E) The distribution is approximately normal with mean 670 yen and standard deviation 10 yen.

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Solution

The correct answer is (C) The distribution is approximately normal with mean 670 yen and standard deviation 60 yen.

Here's the step-by-step explanation:

  1. The Central Limit Theorem (CLT) states that if you have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large (usually n > 30).

  2. In this case, the population mean (μ) is 670 yen, and the population standard deviation (σ) is 360 yen.

  3. The standard deviation of the sampling distribution of the sample mean, also known as the standard error (SE), is calculated by dividing the population standard deviation by the square root of the sample size (n). In this case, SE = σ/√n = 360/√36 = 60 yen.

  4. Therefore, if the process of randomly selecting 36 customer receipts from purchases at konbini in 2020 was repeated to obtain the sampling distribution of the sample mean, the distribution would be approximately normal (thanks to the CLT), with a mean of 670 yen (the same as the population mean), and a standard deviation of 60 yen (the calculated standard error).

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