it(s) possible Submit test Suppose that 10,000 customers in a retailer's customer database are categorized by three customer types: 3,500 prospective buyers, 4,500 first time buyers, and 2,000 repeat (loyal) buyers. A sample of 1,000 customers is needed. Complete parts (a) through (c) below. a. What type of sampling should you do? Why? O A. Systematic sample for accuracy O B. Stratified sample for efficiency O C. Convenience sample for efficiency O D. Simple random sample for accuracy b. Explain how you would carry out the sampling according to the method stated in (a). A. Select a simple random sample from each of the three types of customers and combine the results. O B. N Partition the N customers in the frame into n groups of k customers, where k = -, rounding to the nearest integer. Next, choose the first customer to be selected at random from the first k customers in the frame. Then, select the remaining n - 1 customers by taking every kth customer thereafter from the entire frame. C. Take the highest number of samples from the stratum that seems the most representative, and take the lowest number of samples from the stratum that is most likely to produce outliers. O D. Take a simple random sample of 500 of the customers out of all of the customers, disregarding which stratum each customer belongs to c. Why is the sampling in (a) not simple random sampling? A. A simple random sample gives every item from a frame the same chance of selection as every other item, which is not true with this sampling method. O B. In a simple random sample, each customer must be replaced in the sample after being chosen, which is not true with this sampling method. O C. A simple random sample gives every sample of a fixed size the same chance of selection as every other sample of that size, which is not true with this sampling method. 13 stv cricut cricut K DII DD A Q F9 F10 F11 F12 80 F8 F6 F7 F3 % "> & # delete O J 8 CO O 4s test: 32 point(s) possible This question: 3 point(s) possible Submit test Suppose that 10,000 customers in a retailer's customer database are categorized by three customer types: 3,500 prospective buyers, 4,500 first time buyers, and 2,000 repeat (loyal) buyers. A sample of 1,000 customers is needed. Complete parts (a) through (c) below. O A. Systematic sample for accuracy O B. Stratified sample for efficiency O C. Convenience sample for efficiency O D. Simple random sample for accuracy b. Explain how you would carry out the sampling according to the method stated in (a). A. Select a simple random sample from each of the three types of customers and combine the results. O B. Partition the N customers in the frame into n groups of k customers, where k = -, rounding to the nearest integer. Next, choose the first customer to be selected at random from the first k customers in the frame. Then, select the remaining n - 1 customers by taking every kth customer thereafter from the entire frame. O C. Take the highest number of samples from the stratum that seems the most representative, and take the lowest number of samples from the stratum that is most likely to produce outliers. O D. Take a simple random sample of 500 of the customers out of all of the customers, disregarding which stratum each customer belongs to. c. Why is the sampling in (a) not simple random sampling? A. A simple random sample gives every item from a frame the same chance of selection as every other item, which is not true with this sampling method. B. In a simple random sample, each customer must be replaced in the sample after being chosen, which is not true wil this sampling method. O C. A simple random sample gives every sample of a fixed size the same chance of selection as every other sample of that size, which is not true with this sampling method. O D. The probability of selection for each customer must be known, which is not true with this sampling method. OCT stv S 4 cricut cricut 13