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, pvalue = 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 pvalues?
.031.
1.10
Based on the pvalue can the null hypothesis be rejected at significance level .04?
Yes
or No
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2.
2sample test for equality of proportions with continuity correction
data:
x out of n
Xsquared = 3.3258, df = 1, pvalue = 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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 Spring '08
 Staff
 Statistics, Binomial, Probability, Null hypothesis, Statistical hypothesis testing

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