what are the unusual features of the sampling distribution?  a) outliers  b) none  c) skewed  d) influential obser

For the following set of sample data: {10, 50, 60, 70, 75 79, 85, 90, 91, 95, 100, 110} What is the lower limit for identifying an outlier?

For a box plot, here are 4 values at the low end of a dataset and 4 values near the high end of a set of dataset: 18, 18, 18, 18 … 23, 23, 25, 25, … If the lower fence or boundary for outlier determination is 16 and the upper fence or boundary is 24, what value would you connect the whisker to on the high side of the “box?”

b. For the hypothetical salaries in the following dataset, what is the average salary per year? Dataset of hypothetical salaries: $45,000 per year, $20,000 per year, $33,000 per year, $27,000 per year, $91,000 per year. From question 9b, which salary is the outlier? What is the new average if you delete the outlier from your calculations?