en finals. He randomly selects a sample of 30 Wimbledon finals and 32 French Open finals. The summary statistics are given in the table below in lions of viewers. Grand Slam Final Mean Number of Viewers Standard Deviation Population 1: Wimbledon 21.52 4.665 Population 2: French Open 20.89 3.883

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Chapter1: Starting With Matlab
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Grand Slam
An ESPN reporter wants to use statistical inference to determine if the average viewership of Wimbledon finals is higher than the French
Open finals. He randomly selects a sample of 30 Wimbledon finals and 32 French Open finals. The summary statistics are given in the table below in
millions of viewers.
Grand Slam Final
Mean Number of Viewers
Standard Deviation
Population 1: Wimbledon
21.52
4.665
Population 2: French Open
20.89
3.883
Transcribed Image Text:Grand Slam An ESPN reporter wants to use statistical inference to determine if the average viewership of Wimbledon finals is higher than the French Open finals. He randomly selects a sample of 30 Wimbledon finals and 32 French Open finals. The summary statistics are given in the table below in millions of viewers. Grand Slam Final Mean Number of Viewers Standard Deviation Population 1: Wimbledon 21.52 4.665 Population 2: French Open 20.89 3.883
4. Calculate the appropriate test statistic.
5. Calculate the p-value using 56.577999 degrees of freedom.
p-value =
6. Based on the above p-value, we have ?
v evidence against the null hypothesis.
7. Use the data to construct a 99% confidence interval for the true difference, µi – µ2:
).
Transcribed Image Text:4. Calculate the appropriate test statistic. 5. Calculate the p-value using 56.577999 degrees of freedom. p-value = 6. Based on the above p-value, we have ? v evidence against the null hypothesis. 7. Use the data to construct a 99% confidence interval for the true difference, µi – µ2: ).
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