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T-statistic
allows researchers to use sample data to test hypothesis with an unknown population mean, unlike the z test
standard error of mean:
distance between sample and population mean
sample data can now estimate the distribution
as the sample size increases, the t-distribution approaches the z-distribution
with small df, the t distribution is smaller and more spread out
critical values increase
on t-table, always look at the two-tailed column T hypothesis tests
state the hypothesis and select a value for a
locate the critical region
the sample must be independent observation
no relationship between observations or the sample
the underlying population from which the sample is drawn must be normal
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The First Industrial Revolution
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Studied by 78 people
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Chapter 8: Basic Concepts of Chemical Bonding
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Studied by 59 people
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Chapter 26: Art of the Americas
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Studied by 17 people
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Chapter 23: Consumer Rights and Responsibilities
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Studied by 27 people
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The Communications Revolution
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Studied by 6 people
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Chapter 15- DNA and the Gene: Synthesis and Repair
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Studied by 19 people
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