To Notes

IT 223 -- Apr 29, 2024

Review Exercises

  1. R questions:
    1. Name all of the R functions that you know.
    2. What is an R dataframe?
    3. How do you read an R dataframe from a CSV file?
    4. How do you create an R dataframe from a data vector or vectors?
  2. What is the difference between a normal density and a uniform density?
  3. What is a bivariate normal density?
  4. What does the correlation tell you?
  5. What are the inner fences in a boxplot.
  6. What are the two methods of defining outliers?
  7. What are normal scores?
  8. How do you use normal scores to create a normal plot?
  9. What does this normal plot tell you about the dataset?

    Normal Plot
  10. Create a vector x of 100 simulated normal IQ scores (mean=100 and sd=15). Then create these graphs: histogram, boxplot, normal plot, plot is x vs. observation number. Interpret the plots.
  11. Here are the normal tables that will be included with your midterm exam. Use these tables to solve the following problems:
    1. Human male weights are normally distributed with mean=75kg and sd=16kg. What proportion of these weights are between 51 and 99kg?
    2. What proportion of these weights are greater than 163kg?
    3. What is the 80th percentile for these weights?
    4. What is the 99.99th percentile for these weights?

Review for Midterm

Project 3