Buhler 202 experimental mill diagram
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The document discusses various statistical tests for comparing means and variances between two populations or groups. It provides formulas and examples for:
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2. Testing differences between two means with small independent samples using a t-test. This allows for unknown and unequal variances between populations.
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2) A statistical test is used to determine whether to reject the null hypothesis based on sample data. There is a risk of making Type I or Type II errors.
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2. Testing differences between two means with small independent samples using a t-test. This allows for unknown and unequal variances between populations.
3. Testing differences between two variances using an F-test, which compares the ratio of the two sample variances to an F distribution.
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1) Hypothesis testing involves specifying a null hypothesis (H0) and an alternative hypothesis (H1). The null hypothesis states that there is no difference or relationship, while the alternative hypothesis specifies a difference or relationship.
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