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Two examples analyzed whether telephone callers to an airline would stay on hold different lengths of time, on average, if they heard

(a) an advertisement about the airline,

(b) Muzak, or

(c) classical music. The sample means were 5.4, 2.8, and 10.4, with n1n_1 = n2n_2 = n3n_3 = 5. The ANOVA test had F = 74.6/11.6 = 6.4 and a P-value of 0.013.

The 95% confidence intervals are (0.3, 9.7) for μ3\mu_3 - μ1\mu_1 and (-2 .1, 7.3) for μ1\mu_1 - μ2\mu2. Interpret these two confidence intervals. Using these two intervals and the interval from part a, summarize what the airline company learn ed from this study.

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Given:

  • 95% confidence interval for μ3μ2\mu_3-\mu_2: (2.9,12.3)(2.9,12.3)
  • 95% confidence interval for μ3μ1\mu_3-\mu_1: (0.3,9.7)(0.3,9.7)
  • 95% confidence interval for μ1μ2\mu_1-\mu_2: (2.1,7.3)(-2.1,7.3)

We need to interpret the confidence intervals for μ3μ1\mu_3-\mu_1 and for μ1μ2\mu_1-\mu_2, and summarize the overall results.

We are 95% confident that the population parameter lies within the confidence interval.

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