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A denim company sells its jeans both online and at a retail store. Assume that 80%...
A denim company sells its jeans both online and at the retail store. Assume that 80%...
A denim company sells its jeans both online and at the retail store. Assume that 80% of the company's sales are retail, and 20% of sales are online. A. What's the probability that all of the next four pairs of jeans are sold online? B. What's the probability that 3 out of the next 4 parts of jeans are sold online? C. Use your answers from parts (a and b) to derive a formula for p(x), the probability distribution of...
A denim company sells its jeans both online and at the retail store. Assume that 80%...
A denim company sells its jeans both online and at the retail store. Assume that 80% of the company's sales are retail, and 20% of sales are online. A. What's the probability that all of the next four pairs of jeans are sold online? B. What's the probability that 3 out of the next 4 parts of jeans are sold online? C. Use your answers from parts (a and b) to derive a formula for p(x), the probability distribution of...
5. The mean time for a 100 meter race at a college track meet is 13.2...
5. The mean time for a 100 meter race at a college track meet is 13.2 seconds, with a standard deviation of 0.9 seconds. To win, the next sprinter needs to run the race in 12.5 seconds or less Assuming this random variable is normally distributed, what is the probability of the sprinter running the race in a short enough time to take the lead? 6) A denim company sells its jeans both online and at a retail store. Assume...
Past records indicate that the probability of online retail orders that turn out to be fraudulent...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.05. Suppose that, on a given day, 19 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts (a) through (d) below a. What are the mean and standard deviation of the number of online retail orders that turn out to be fraudulent? The mean...
question: Past records indicate that the probability of online retail orders that turn out to be...
question: Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.07 Suppose that, on a given day, 24 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts (a) through (d) below. a. What are the mean and standard deviation of the number of online retail orders that turn out to be fraudulent? The...
Past records indicate that the probability of online retail orders that turn out to be fraudulent...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.08. Suppose that, on a given day, 21 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. What is the probability that two or more online retail orders will turn out to be fraudulent? (Type an integer or a decimal. Round to four decimal places as...
Past records indicate that the probability of online retail orders that turn out to be fraudulent...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.050.05. Suppose that, on a given day, 2020 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts (a) through (d) below. a. What are the mean and standard deviation of the number of online retail orders that turn out to be fraudulent? . What...
Past records indicate that the probability of online retail orders that turn out to be fraudulent...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.08. Suppose that, on a given day, 20 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. a. What are the mean and standard deviation of the number of online retail orders that turn out to be fraudulent? b. What is the probability that zero online...
We are interested in determining the probability that a retail store will meet its daily revenue...
We are interested in determining the probability that a retail store will meet its daily revenue goal of $100. Analysis of sales history indicates that daily demand, D is random and independent of the demand on other days. Assume D follows the distribution below P(D=d) = 0.3, d=0 0.3, d=1 0.2, d=2 0.1, d=3 0.1, d=4 Furthermore, due to a complicated discount structure, the shop has determined that their revenue per day can be modeled as R(s) = −100 cos(20s)...
A retail store is currently short of a certain product, and the manager is now planning...
A retail store is currently short of a certain product, and the manager is now planning on how many amounts of such product to import for the sales of them in next month. The store pays $20 (the import price) per unit of the product, and then sells it for $30 (the marked price in that store) per unit. However, if the store is not able to sell these imported products in the next month, these products must be disposed...
5. The mean time for a 100 meter race at a college track meet is 13.2 seconds, with a standard deviation of 0.9 seconds. To win, the next sprinter needs to run the race in 12.5 seconds or less Assuming this random variable is normally distributed, what is the probability of the sprinter running the race in a short enough time to take the lead? 6) A denim company sells its jeans both online and at a retail store. Assume...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.05. Suppose that, on a given day, 19 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. Complete parts (a) through (d) below a. What are the mean and standard deviation of the number of online retail orders that turn out to be fraudulent? The mean...
Past records indicate that the probability of online retail orders that turn out to be fraudulent is 0.08. Suppose that, on a given day, 21 online retail orders are placed. Assume that the number of online retail orders that turn out to be fraudulent is distributed as a binomial random variable. What is the probability that two or more online retail orders will turn out to be fraudulent? (Type an integer or a decimal. Round to four decimal places as...
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