Standard normal distribution problem: A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $5,000 and a standard deviation of $500. The company defines a "high-sales day" as any day with sales exceeding $5,750.       What percentage of days can the company expect to have "high-sales days"?   What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve)   Question 1: What percentage of days can the company expect to have "high-sales days"? (1 point) Question 2: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve) (1 point)

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 5CT
Question

Standard normal distribution problem: A company found that the daily sales revenue of its flagship product follows a normal distribution with a mean of $5,000 and a standard deviation of $500. The company defines a "high-sales day" as any day with sales exceeding $5,750.

  •       What percentage of days can the company expect to have "high-sales days"?
  •   What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve)

 

Question 1: What percentage of days can the company expect to have "high-sales days"? (1 point)

Question 2: What is the sales revenue threshold for the bottom 10% of days? (please note that 10% refers to the probability/area under bell curve towards the lower tail of bell curve) (1 point)

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