Suppose approximately 90!} people die in bicycle accidents each year. One study examined the records of ll bicyclists aged 15 or older who were fatally injured in bicycle accidents in a veyear period and were tested for alcohol. thhese. 642 tested positive for alcohol (blood alcohol concentration of 0.01% or higher). (a) Summarize the data with appropriate descriptive statistics. (Round your answerto four decimal places.) .3: (b) To do statistical inference for these data, we think in terms of a model wherep is a parameter that represents the probability that a tested bicycle rider is positive For alcohol. Find a 99% condence interval for p. [Round your answers to four decimal places.) ( - l (c) Can you conclude from your analysis o'Fthis study that alcohol ca uses fatal bicycle accidents? Explain. .-\"* Yes, we know that of the 900 people that die in bicycle accidents each year, about 542 test positive for alcohol. .-"\" No, we do not know, For example, what percentage of cyclists who were not involved in fatal accidents had alcohol in their systems. (d) In this study 596 bicyclists had blood alcohol levels above 8.10%, a level dening legally drunk at the time. Give a 99% condence interval For the proportion who were legally drunk according to this criterion. [Round your answers to four decimal places.) ( - l