Answered: he Home and Garden (HG) chain of…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 15PPS

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please answer both questions within 30 minutes. its urgent. The Home and Garden (HG) chain of superstores imports decorative planters from Italy. Weekly demand for planters averages 1,500 with a standard deviation of 800. Each planter costs $10. HG incurs a holding cost of 25% per year to carry inventory. HG has an opportunity to set up a superstore in the Bakersfield region. Each order shipped from Italy incurs a fixed transportation and delivery cost of $10,000. Consider 52 weeks in the year. If the delivery lead time from Italy is 1 week and HG wants to provide its customers a cycle service level of 90%, how much safety stock should it carry? 1,025 1,776 1,940 2,253 A firm sells electronic components through catalogs. Catalogs are printed once every year. Each printing run incurs a variable production cost of $5 per catalog. Annual demand for catalogs is estimated to be normally distributed with a mean of 16,000 and standard deviation of 4,000. Data indicates that, on average, each customer ordering a catalog generates a profit of $35 from sales. Assuming that the firm wants only one printing run in each year, how many catalogs should be printed in each run? hint: Solve by newsvendor logic (optimal service level and Prob(R

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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