Part 1. Collect data by asking Google questions. We would like to estimate the average search time to all possible questions, but that's a mission impossible. So we have to randomly choose some questions to ask Google. For example, if you search "How do I heal a broken heart?" at Google, it returns with "About 28,200,000 results (0.47 seconds)", which is shown before all the search results. Here, the "0.47 seconds" is the search time of this question. Fill in the following table of 10 questions, and record the search time. If you asked more than 10 questions, simply add more rows to the table. In case that you find it hard to compose the questions, here is an interesting article on the world's most popular questions that may give you some ideas. (http://mkweb.bcgsc.ca/topquestions/). Note that the complexity of the terms you ask Google affects the search time, so please compose the question in a complete sentence with a question mark rather than only a word or a phrase. Based on the knowledge we've learned, large sample size has great advantages. Firstly, large sample size is a condition for statistical procedures that are fundamentally based on Central Limit Theorem. Without a large sample size, the decision-making procedure may not be valid. Secondly, the larger the sample size, the more accurate of the inference. In terms of confidence interval, larger sample size leads to narrower interval. In terms of hypothesis test, larger sample size lead to smaller chance of Type II error. Therefore, large sample size is definitely encouraged in all statistical study, including this one. You are encouraged to work with other students on collecting as large sample as you can. If you work with other students, include their names here ______________________________.

Question Number	Questions for Google	Search Time (Second)
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