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Interpreting R Hypothesis Test Output

# Interpreting R Hypothesis Test Output - Interpreting R...

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Interpreting R Hypothesis Test Output In writing numeric values for answers, round to 3 significant digits . 1. Exact binomial test data: 12 and 24 number of successes = 12, number of trials = 24, p-value = 0.03139 alternative hypothesis: true probability of success is greater than 0.3 95 percent confidence interval: 0.319421 1.000000 sample estimates: probability of success: 0.5 1.1 The output suggests the population is from what family of distributions? Binomial 1.2 What is the sample size for the family? n = 24 1.3 What is the alternative hypothesis? p > .3 1.4 What is the null hypothesis? p = .3 1.5 What is the 95 percent confidence interval or p. (.319 1) 1.6 Does the proportion (probability) given in the null hypothesis fall in the confidence interval? Yes or No 1.7 Based on 1.6 can the null hypothesis be rejected at significance level Yes or No 1.8 Does the 95% confidence interval provide enough information to reject the null hypothesis with significance level Yes or No 1.9. What is the p-values? .031. 1.10 Based on the p-value can the null hypothesis be rejected at significance level .04? Yes or No

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2. 2-sample test for equality of proportions with continuity correction data: x out of n X-squared = 3.3258, df = 1, p-value = 0.0682 alternative hypothesis: two.sided 98 percent confidence interval: -0.58667162 0.05333829 sample estimates: prop 1 prop 2 0.4333333 0.7000000
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