I have just joined this list (and just started using R), so please
excuse any etiquette breaches as I do not yet have a feel for how the
list operates.
I am in the process of teaching myself statistics using R as my utility
as my ultimate goals cannot be satisfied by Excel or any of the plug-ins
I could afford.
I am currently looking at chap12 page 552 of Weiss's Introductory
Statistics 9th edition. Example 12.5 demonstrates using "Technology" to
obtain a One-Proportion z-Interval.
n=202
x=1010
confidence interval = .95.
Answer given by Minitab
0.175331, .224669
Answer given by TI-83/84
.17533, .22467
Answer given by Weiss's Excel Plug-in
0.175 < p < 0.225
Here is what I got with R
prop.test(202,1010,correct="FALSE")
1-sample proportions test without continuity correction
data: 202 out of 1010, null probability 0.5
X-squared = 363.6, df = 1, p-value < 2.2e-16
alternative hypothesis: true p is not equal to 0.5
95 percent confidence interval:
0.1764885 0.2257849
sample estimates:
p
0.2
I'm also getting slight differences in the answers for exercises and
find this disconcerting.
Why are these differences present (or am I doing something wrong)?
Jack
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