Back to 7.1 The Central Limit Theorem for Sample Means

7.1 Exercise 11

Avg difficulty 2.5

The cost of unleaded gasoline in the Bay Area once followed an unknown distribution with a mean of $4.59 and a standard deviation of $0.10. Sixteen gas stations from the Bay Area are randomly chosen. We are interested in the average cost of gasoline for the 16 gas stations. The distribution to use for the average cost of gasoline for the 16 gas stations is:

  1. X– \overset{–}{X} ~ N(4.59, 0.10)
  2. X– \overset{–}{X} ~ N ( 4.59,  0.10 16 ) \left(\text{4} .\text{59},\textrm{ } \frac{0.10}{\sqrt{16}}\right)
  3. X – \overset{–}{X} ~ N ( 4.59,  16 0.10 ) \left(\text{4} .\text{59},\textrm{ } \frac{16}{0.10}\right)
  4. X – \overset{–}{X} ~ N ( 4.59,  16 0.10 ) \left(\text{4} .\text{59},\textrm{ } \frac{\sqrt{16}}{0.10}\right)

OpenStax Introductory Business Statistics 2e, 7.1 The Central Limit Theorem for Sample Means, exercise 11

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Adapted from Introductory Business Statistics 2e © 2023 Rice University. Licensed under CC BY 4.0. Source: Introductory Business Statistics 2e. Imported at revision 50ec917.