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Suppose that a random sample of n= 1000 personal computer
(PC) sales is monitored and the type of microprocessor installed is
ˆ
recorded. Let p be the proportion of personal computers with a
Pentium microprocessor in the sample.
Question: What is the probability that the proportion of the
sample PCs with Pentium microprocessors was between 75% and
80%?
Answer: Statistical Inference Numerical descriptive measures calculated from the
population are called parameters For quantitative variables, the population is
described by mean (location parameter) μ and
standard deviation (scale parameter) σ For a binomial population, location and scale are
described by the population proportion p
If the values of the parameters are unknown we
make inference on them based on sampled
measurements
Types of inference: estimation, hypothesis testing Estimation Estimating or predicting the value of a parameter
based on sampled data Point estimation Interval estimation
Example : Given the data what...
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This note was uploaded on 12/05/2012 for the course STA 13 taught by Professor Samaniego during the Fall '10 term at UC Davis.
 Fall '10
 samaniego
 Statistics, Central Limit Theorem, Standard Error

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