A sample of N= 50 individuals is selected from a population with a mean of 50. A treatment is administered to the individuals in the sample and, after treatment, the sample has a mean of X=51 and SS=27, 220. (a) Compute a 95% confidence interval for u, the population mean for the treatment group. (b) Compute Cohen's d to estimate the size of the described effect. (c) Perform a hypothesis test to decide whether the population mean of the treatment group is significantly larger than the mean of the general population.

MATLAB: An Introduction with Applications
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A sample of N= 50 individuals is selected from a population with a mean of 50. A treatment is administered to the individuals in the sample and, after treatment, the sample has a mean of X=51 and SS=27, 220. (a) Compute a 95% confidence interval for u, the population mean for the treatment group. (b) Compute Cohen's d to estimate the size of the described effect. (c) Perform a hypothesis test to decide whether the population mean of the treatment group is significantly larger than the mean of the general population. (d) Compute and interpret a Bayes factor for the model (either He or H,) with the best predictive adequacy. (e) Compute and interpret the posterior model probability for the winning model chosen in part (d).
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