Introduction to Statistics (MAT/SST 115.03 2008S)
Primary: [Front Door] [Syllabus] [Current Outline] [R] - [Academic Honesty] [Instructions]
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External Links: [R Front Door] [SamR's Front Door]
The book asks us to “Use technology to conduct the appropriate test of significance”. A simple approach is to use the Test of Significance Calculator applet.
Of course, it is also easy to do the computation in R, since you know the formula. First, you compute the z-score. We'll do so for the first sample size.
z = (.3 - .25)/sqrt(.25*(1-.25)/50)
Now, how do we find out the p-value? In this case,
we want P(Z > z). We can
look up the z-score in the normal distribution
table with pnorm
(z
).
Since that gives P(Z < z),
we subtract it from 1.
p = 1 - pnorm(z)
Putting it all together for the next sample,
z = (.3 - .25)/sqrt(.25*(1-.25)/100)
p = 1 - pnorm(z)
z
p
Primary: [Front Door] [Syllabus] [Current Outline] [R] - [Academic Honesty] [Instructions]
Groupings: [Applets] [Assignments] [Data] [Examples] [Handouts] [Labs] [Outlines] [Projects] [Readings] [Solutions]
External Links: [R Front Door] [SamR's Front Door]
Copyright (c) 2007-8 Samuel A. Rebelsky.
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