One-tailed Hypothesis First condition is a higher score than the second condition. First condition is a lower score than the second condition. HaiM<ø HoiMozea Hp=0 11 Related (Dependent) Two-S ample t-test- Riess

In Bayesian statistics, a 90% credible interval (or Bayes interval) covers the true parameter with (subjective) probability 90%. True False

2. When we carry out a 1-sample hypothesis test for the mean, one of the ways that we can check for normality is to look at the normal plot. How do we know if our normality assumption is satisfied by looking at the normal plot? Be as specific as possible.

The Jamestown Steel Company manufactures and assembles desks and other office equipment at several plants. The weekly production of the Model A325 desk follows a normal probability distribution, with a mean of 200 and a standard deviation of 16. Recently, due to market expansion, new production methods have been introduced and new employees hired. The vice president of manufacturing would like to investigate whether there has been a change in the weekly production of the Model A325 desk. To put it another way, is the mean number of desks produced different from 200 at the 0.01 significance level?   If the VP took a sample of new production, where he took the data for 50 weeks and found the average production to be 203.5 desks, what would you conclude?

The starting salaries of financial accountants are positively skewed, with a mean of $52,000 and a standard deviation of $12,000. The starting salaries of cost accountants have a slightly skewed distribution, with a mean of $58,000 and a standard deviation of $14,000. A random sample of 40 financial accountants and a random sample of 50 cost accountants are selected. What is the probability that the starting salaries of the financial accountants will not exceed the starting salaries of A Round the final cost accountants? answer to four decimal places.

An HIV clinical trial with 1151 subjects was conducted. We will focus on two variables from this trial: IVDrug and Age. IVDrug is a categorical variable that indicates whether each subject never, previously, or currently uses IV drugs. Age lists the subject's age in year. Thus, we have age for subjects in three treatment groups. Assume that the samples were collected independently and come from a normally distributed population with equal variances. An ANOVA is used to test whether average age in the three IV drug groups is the same. A partially filled-in ANOVA table is listed below. Use a significance level of 0.05. p-value Treatment Error Total df SS MS 76.77 F 7.5586