Chapter 3 Experiments with a Single Factor: The Analysis
... • SSTreatment: sum of squares of the differences between the treatment averages (sum of squares due to treatments) and the grand average, and a – 1 degree of freedom • SSE: sum of squares of the differences of observations within treatments from the treatment average (sum of squares due to error), a ...
... • SSTreatment: sum of squares of the differences between the treatment averages (sum of squares due to treatments) and the grand average, and a – 1 degree of freedom • SSE: sum of squares of the differences of observations within treatments from the treatment average (sum of squares due to error), a ...
1. The P-value for a two sided test of the null hypothesis H0: µ = 30
... 1. The P-value for a two sided test of the null hypothesis H0: µ = 30 is 0.04. a) Does the 95% confidence interval include the value 30? Why? No. A 95% confidence interval corresponds to a hypothesis test with significance level of .05. A 95% confidence interval contains the hypothesized value o ...
... 1. The P-value for a two sided test of the null hypothesis H0: µ = 30 is 0.04. a) Does the 95% confidence interval include the value 30? Why? No. A 95% confidence interval corresponds to a hypothesis test with significance level of .05. A 95% confidence interval contains the hypothesized value o ...
Overview for Confidence Intervals and Hypothesis
... 1. Confidence Interval Method (uses a confidence interval to measure strength of evidence) This method uses a confidence interval to create a feasible region for the unknown parameter using sample data. If the confidence interval contains the hypothesized value then this would support a conclusion t ...
... 1. Confidence Interval Method (uses a confidence interval to measure strength of evidence) This method uses a confidence interval to create a feasible region for the unknown parameter using sample data. If the confidence interval contains the hypothesized value then this would support a conclusion t ...
Sampling Distributions
... distribution of p becomes approximately normal. You need to check for the Normal condition before you perform Normal calculations np ≥ 10 and n(1-p) ≥ 10 ...
... distribution of p becomes approximately normal. You need to check for the Normal condition before you perform Normal calculations np ≥ 10 and n(1-p) ≥ 10 ...
Ch18 links
... 18.9 Is it significant? The one–sample t statistic from a sample of n = 15 observations for the two-sided test of H0: μ = 64 Ha: μ 64 has the value t = 2.12. (a) What are the degrees of freedom for t? (b) Locate the two critical values t* from Table C that bracket t. What are the two-sided P– value ...
... 18.9 Is it significant? The one–sample t statistic from a sample of n = 15 observations for the two-sided test of H0: μ = 64 Ha: μ 64 has the value t = 2.12. (a) What are the degrees of freedom for t? (b) Locate the two critical values t* from Table C that bracket t. What are the two-sided P– value ...
