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Fast Food Dinner Service Times Data Set 25 鈥淔ast Food鈥 in Appendix B lists drivethrough service times (seconds) for dinners at McDonald鈥檚, Burger King, and Wendy鈥檚. Using those times with a TI-83>84 Plus calculator yields the following display. Using a 0.05 significance level, test the claim that the three samples are from populations with the same mean. What do you conclude?

Short Answer

Expert verified

The null hypothesis will be rejected at a 0.05 significance level. There is not enough evidence to support the claim that the three samples are from populations with the same mean.

It can be concluded that three samples are observed from populations that have different mean times for service.

Step by step solution

01

Given information

Drive-through service times for dinners at three places are compared.

The level of significance is 0.05.

02

Identify the hypotheses as per the claim

Let\[{\mu _1},{\mu _2},{\mu _3}\]be the actual mean service times for McDonald鈥檚, Burger King, and Wendy鈥檚, respectively.

The hypotheses are stated below.

\(\begin{array}{l}{H_0}:{\mu _1} = {\mu _2} = {\mu _3}\\{H_a}:\;{\rm{at}}\;{\rm{least}}\;{\rm{one}}\;{\mu _i}\;{\rm{is}}\;{\rm{different}}{\rm{.}}\end{array}\)

03

Identify the p-value from the output

Decision rule:

  • For a p-value less than 0.05, the null hypothesis is rejected.
  • For a p-value greater than 0.05, the null hypothesis is failed to be rejected.

From the output of the TI-83/84 Plus calculator, the p-value is marked as\(P = 0.0045462237\). It is lesser than 0.05. Thus, the null is rejected at the 0.05 significance level.

04

Interpret the result

Rejecting the null hypothesis implies that the mean service time for at least one of the three dinners is statistically different from the others. As a result, it can be concluded that the populations from which three samples have been selected have varying mean time.

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