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Transcript 
Determination of Sample
Size: A Review of
Statistical Theory
Chapter 13
Sample v. Population
 Inferential
 Descriptive
 Sample
statistics
 Population parameters
Tables
 Frequency
distribution
 Percentage distribution
 Probability
 Proportion
Measures of Central Tendency
 Mean
 Median
 Mode
Measures of Dispersion
 Range
– Formula
 Deviation
(Variance)
– Formula
 Standard
– Formula
Deviation
The Normal Distribution
 Three
Characteristics
 Standardized Normal Distribution
– Why do I have to know this?
– What does it mean?
– Variable
– Formula
– Example
Population Distribution, Sample
Distribution, and Sampling
Distribution
 Population:
 Sample:
 Sampling
µ
ơ
S
Distribution
– Standard Error of the Mean
– Symbol
– Formula
Central Limit Theorem
 As
sample size increases, the
distribution of the mean, of any
sample approaches a normal
distribution.
Estimation of Parameters
 Point
Estimates
– What is it?
 Confidence
Intervals
– Question #10, page 343
Sample Size for Means
 Sample
Error
– Formula
– Factors
 Variance
 Magnitude
of error (confidence interval)
 Confidence level
Sample Size for Means
 Formula
 Question
#11 page 343
 Question #12 page 343
Sample Size for Proportions
 Standard
Error for Proportion
– Formula
 Confidence
interval
– Formula
 Sample
Size
– Formula
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