True or false: If σ1 and σ2 were known, then ¯x¯¯¯x1 – ¯x¯¯¯x 2 would have a Normal distribution.
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What should we do when we don’t know σ1 and σ2?
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With statistical software, which option is the best for degrees of freedom?
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True or false: The null hypothesis is a statement of no difference between the two population means.
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What value is used as the claimed parameter value for µ1 – µ2 in the test statistic for testing H0: µ1 = µ2?
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What do we use as a point estimate for µ1 – µ2 in a confidence interval?
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What table do we use to find the P-value for t=¯x1−¯x2√s21n1+s22n2t=¯¯¯x1−¯¯¯x2√s21n1+s22n2 with df = smaller of (n1 – 1, n2 – 1)?
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What table do we use to find the multiplier in the formula ¯x1−¯x2±t∗√s21n1+s22n2¯¯¯x1−¯¯¯x2±t∗√s21n1+s22n2 with df = smaller of (n1 – 1, n2 – 1)?
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Why do we only need to check for outliers if n1 + n2 < 40?
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If we want to test whether the mean water intake for rats receiving the anti-depressant is greater than the mean water intake for rats receiving the placebo, what alternative hypotheses should we test? Note: D = anti-depressant drug and P = placebo
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Why do we need a two-sample t test for means?
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How should these rats be allocated to the two treatments?
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What is the response variable?
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Are there any outliers in either data set?
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For the conservative two-sample t procedure, degrees of freedom are the smaller of (n1 – 1) and (n2 – 1). What are the degrees of freedom for this example?
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With 0.025 < P-value < 0.05 and α = 0.05, should we reject H0?
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Can we conclude that the anti-depressant drug caused an increase in water intake?
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In symbols, the parameter being estimated with this confidence interval is µ1 – µ2. What is this parameter in context?
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This confidence interval estimates µ1 – µ2. On the basis of this interval, can we say that µ1 – µ2 ≠ 0?
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