The city manager measures response times by looking at the proportion of calls for which paramedics arrived within 8 minutes. Last year, paramedics arrived on scene 75% of the time within 8 minutes.  The city manager wants to determine whether they have done significantly better this year. State appropriate null and alternative hypotheses for the city manager to test. Describe a Type I and Type II error in this setting. Explain the consequences of each type of error. Which is more serious: a Type I error or a Type II error? Justify your answer

Q: Write the statistical hypotheses.

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Q: Our significance level will help control the chance of a type II error. True False

A: Our significance level will help control the chance of a type II error. True False

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A: The hypothesized proportion is 0.24.