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Unformatted text preview: Click to edit Master subtitle style M342 Basic Stats Explained Populations and Samplesan example • Population  all I.U. undergraduates • Sample  77 M342 students • Parameter  A characteristic of a population. – the average I.U. undergraduate is 20.7 years old. • Statistic  A characteristic of a sample. – Descriptive Statistics Descriptive Statistics 58 20.00 22.00 21.0862 .60072 58 What is your age? Valid N (listwise) N Minimum Maximum Mean Std. Deviation Parameters and Statistics Hypotheses Testing • A hypotheses is always a statement about the population , never the sample. • A hypotheses refers to a situation that might be true. • An exact null: The average nights out per week for IU students is 3. Ho =3 • An inexact null: The average nights out per week for IU students is 3 or more nights. Ho >=3 • The alternative null: is the opposite of the exact or inexact null. Hypotheses • In statistical hypothesis testing, we can never prove anything. We can only find evidence against things. • As a result we form the null hypothesis so that the null encompasses what we would not like to be true. – It is what the researcher hopes to find evidence against. The null asserts that there will not be a statistically significant difference between the groups. Hypotheses • Suppose a Legislator says, “In Bloomington, they have eight or more drinks when they go out.” • This forms our null hypotheses – Ho: μ > 8.0 • To refute the Legislator, which we want to do , we try to find evidence for the alternative hypothesis....
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 Fall '08
 CAMP
 Statistics, Null hypothesis, Statistical hypothesis testing, Statistical significance, inexact null

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