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Unformatted text preview: Interpreting R Hypothesis Test and Confidence Interval Output Problems are worth .5 points each. There are 50 problems. Directions: Most answers are very short. Round many digits answers to 2 significant digits. Write neatly giving the problem number and answer. Fit all answers on 1 page front and back or on two pages with one side each. Don’t turn in the questions, just the answers. Examples 1.1 Binomial 1.2 28 or n=28 1.3 p =.91 … 1. Exact binomial test data: 21 and 28 number of successes = 21, number of trials = 28, p-value = 0.01039 alternative hypothesis: true probability of success is less than 0.91 96 percent confidence interval: 0.0000000 0.8821324 sample estimates: probability of success 0.75 1.1 The output suggests the population is from what family of distributions? 1.2 What is the sample size for the family? 1.3 What is the alternative hypothesis? ¡ ¢ 1.4 What is the null hypothesis? ¡ ¢ 1.5 Does the proportion (probability) given in the null hypothesis fall in the 96% confidence interval? 1.6 Based on 1.4 can the null hypothesis be rejected at significance level £ ¤ ¥ ¦§¨© 1.7 Based on the p-value can the null hypothesis be rejected at significance level .02?...
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This note was uploaded on 12/20/2011 for the course STAT 344 taught by Professor Staff during the Spring '08 term at George Mason.
- Spring '08