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book Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase cover

Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase

Edition 6ISBN: 978-1111827021
book Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase cover

Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase

Edition 6ISBN: 978-1111827021
Exercise 159
Focus Problem: Impulse Buying Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a Denver Post article, the mean of the x distribution is about $20 and the estimated standard deviation is about $7.
(a) Consider a random sample of n = 100 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of
Focus Problem: Impulse Buying Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a Denver Post article, the mean of the x distribution is about $20 and the estimated standard deviation is about $7. (a) Consider a random sample of n = 100 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of     , the average amount spent by these customers due to impulse buying What are the mean and standard deviation of the     distribution Is it necessary to make any assumption about the x distribution Explain. (b) What is the probability that     is between $ 18 and $22 (c) Let us assume that. x has a distribution that is approximately normal. What is the probability that x is between $ 18 and $22 (d) Interpretation: In part (b), we used     , the average amount spent, computed for 100 customers. In part (c), we used x , the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen In this example,     is a much more predictable or reliable statistic than x. Consider that almost all marketing strategies and sales pitches are designed for the average customer and not the individual customer. How does the central limit theorem tell us that the average customer is much more predictable than the individual customer , the average amount spent by these customers due to impulse buying What are the mean and standard deviation of the
Focus Problem: Impulse Buying Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a Denver Post article, the mean of the x distribution is about $20 and the estimated standard deviation is about $7. (a) Consider a random sample of n = 100 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of     , the average amount spent by these customers due to impulse buying What are the mean and standard deviation of the     distribution Is it necessary to make any assumption about the x distribution Explain. (b) What is the probability that     is between $ 18 and $22 (c) Let us assume that. x has a distribution that is approximately normal. What is the probability that x is between $ 18 and $22 (d) Interpretation: In part (b), we used     , the average amount spent, computed for 100 customers. In part (c), we used x , the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen In this example,     is a much more predictable or reliable statistic than x. Consider that almost all marketing strategies and sales pitches are designed for the average customer and not the individual customer. How does the central limit theorem tell us that the average customer is much more predictable than the individual customer distribution Is it necessary to make any assumption about the x distribution Explain.
(b) What is the probability that
Focus Problem: Impulse Buying Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a Denver Post article, the mean of the x distribution is about $20 and the estimated standard deviation is about $7. (a) Consider a random sample of n = 100 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of     , the average amount spent by these customers due to impulse buying What are the mean and standard deviation of the     distribution Is it necessary to make any assumption about the x distribution Explain. (b) What is the probability that     is between $ 18 and $22 (c) Let us assume that. x has a distribution that is approximately normal. What is the probability that x is between $ 18 and $22 (d) Interpretation: In part (b), we used     , the average amount spent, computed for 100 customers. In part (c), we used x , the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen In this example,     is a much more predictable or reliable statistic than x. Consider that almost all marketing strategies and sales pitches are designed for the average customer and not the individual customer. How does the central limit theorem tell us that the average customer is much more predictable than the individual customer is between $ 18 and $22
(c) Let us assume that. x has a distribution that is approximately normal. What is the probability that x is between $ 18 and $22
(d) Interpretation: In part (b), we used
Focus Problem: Impulse Buying Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a Denver Post article, the mean of the x distribution is about $20 and the estimated standard deviation is about $7. (a) Consider a random sample of n = 100 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of     , the average amount spent by these customers due to impulse buying What are the mean and standard deviation of the     distribution Is it necessary to make any assumption about the x distribution Explain. (b) What is the probability that     is between $ 18 and $22 (c) Let us assume that. x has a distribution that is approximately normal. What is the probability that x is between $ 18 and $22 (d) Interpretation: In part (b), we used     , the average amount spent, computed for 100 customers. In part (c), we used x , the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen In this example,     is a much more predictable or reliable statistic than x. Consider that almost all marketing strategies and sales pitches are designed for the average customer and not the individual customer. How does the central limit theorem tell us that the average customer is much more predictable than the individual customer , the average amount spent, computed for 100 customers. In part (c), we used x , the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen In this example,
Focus Problem: Impulse Buying Let x represent the dollar amount spent on supermarket impulse buying in a 10-minute (unplanned) shopping interval. Based on a Denver Post article, the mean of the x distribution is about $20 and the estimated standard deviation is about $7. (a) Consider a random sample of n = 100 customers, each of whom has 10 minutes of unplanned shopping time in a supermarket. From the central limit theorem, what can you say about the probability distribution of     , the average amount spent by these customers due to impulse buying What are the mean and standard deviation of the     distribution Is it necessary to make any assumption about the x distribution Explain. (b) What is the probability that     is between $ 18 and $22 (c) Let us assume that. x has a distribution that is approximately normal. What is the probability that x is between $ 18 and $22 (d) Interpretation: In part (b), we used     , the average amount spent, computed for 100 customers. In part (c), we used x , the amount spent by only one customer. The answers to parts (b) and (c) are very different. Why would this happen In this example,     is a much more predictable or reliable statistic than x. Consider that almost all marketing strategies and sales pitches are designed for the average customer and not the individual customer. How does the central limit theorem tell us that the average customer is much more predictable than the individual customer is a much more predictable or reliable statistic than x. Consider that almost all marketing strategies and sales pitches are designed for the average customer and not the individual customer. How does the central limit theorem tell us that the average customer is much more predictable than the individual customer
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Understanding Basic Statistics 6th Edition by Charles Henry Brase,Corrinne Pellillo Brase
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