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Exercises for Section 4.5 SKILL BUILDER 1 4.159 For each question in Exercises 4

ID: 2909125 • Letter: E

Question

Exercises for Section 4.5 SKILL BUILDER 1 4.159 For each question in Exercises 4.155 and 4.156, indi-tion, in cate whether it is best assessed by using a confidence gie th (a) 95 interval or a hypothesis test or whether statistical inference is not relevant to answer it. 4.155 (a) What percent of US voters support insti- tutinga national kindergarten through 12th grade (b) 90- (c) 99- 4.160 math curriculum? additic (b) Do basketball players hit a higher proportion of free throws when they are playing at home than mean. when they are playing away? (a) 95 0.1 (c) Do a majority of adults riding a bicycle wear a helmet? (d) On average, were the 23 players on the 2014 Canadian Olympic hockey team older than the 23 players on the 2014 US Olympic hockey (c) 90 team? 4.156 (a) What proportion of people using a pub-SKILL In Exe a sam (b) On average, how much more do adults whoto test fidence lic restroom wash their hands after going to the bathroom? played sports in high school exercise than adults who did not play sports in high school? possibl using 4.161 (a) Ho (d) What is the average daily calorie intake of 20 (b) Ho (c) H 4.162 In Exercises 4.157 to 4.160, hypotheses for a statis (a) Ho cal test are given, followed by several possible con-(b) H ) Ho (c) In 2010, what percent of the US Senate voted to confirm Elena Kagan as a member of the Supreme Court? vear-old males? SKILL BUILDER 2 fidence intervals for different samples. In each case, use the confidence interval to state a conclusion of the test for that sample and give the significance level 4.163 to 0.18 used. 4157 Hypotheses: H0 : ? = 15 vs H. : ? 15 (a) Ho

Explanation / Answer

(a)confidence interval(b)hypothesis testing(c)confidence interval(d)confidence interval

Use hypothesis testing when you want to do a strict comparison with a pre-specified hypothesis and significance level. Use confidence intervals to describe the magnitude of an effect (e.g., mean difference, odds ratio, etc.) or when you want to describe a single sample.

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