Business: data distribution

week 3

Explain when the empirical rule can be used to help describe data in a population or a sample, defining which data distributions cannot be explained by this rule.

week 5

The manager of a fast-food store realizes that her staffing problems are a result of the variation in the number of customers that arrive at the store. If the same number of customers came each hour, she would know exactly how many servers to have working. It turns out that the Poisson distribution works well to describe the arrivals of customers in any given hour.

  • Explain why the manager has more trouble staffing the store during those hours when the average arrival rate is higher
  • Week 6 Discussion –
  • How would you respond to a statement that says that by increasing the sample size, the amount of sampling error will be decreased?


Japolli Bakery makes a variety of bread types that it sells to supermarket chains in the area. One of the problems is that the number of loaves of each type of bread sold each day by the chain stores varies considerably, making it difficult to know how many loaves to bake. A sample of daily demand data is contained in the file SEE ATTACHED

  1. Develop a frequency distribution for each bread type using appropriate intervals.
  2. Select which bread type has the greatest and lowest relative variability.
  3. Assuming that these sample data are representative of demand during the year, determine how many loaves of each type of bread should be made such that demand would be met on at least 75% of the days during the year.
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