I. Basic skills and concepts Answer the following questions from 1 to 6 1. What is the difference between a parameter and a statistic? 2. What is the difference between qualitative data and quantitative data? 3. What is the difference between discrete data and continuous data? 4. If an experiment produces data that is continuous in nature, must the data also be quantitative or can it be qualitative? 5. Define descriptive statistics. 6. Point out the difference between a nominal scale and an ordinal scale. II. Variable type: Determine the type of variable is Categorical or Numeric. Also if it is Discrete or Continuous 1. Number of telephones in the house. 2. The number of long distance calls in a month. 3. The Color of the main phone. 4. The longest call in minutes this month. 5. The owner of a cell phone. 6. Whether or not there is a fax machine in the office. 7. The types of phones in your home. III. Qualitative Data Graphs. Do the following problems 1. For the following data: The random variable X is discrete and can only assume the values 0 or 1 or 2 1 2 1 02 2 1 1 0 0 2 2 1 1 0 012 1 1 to. Make relative frequency graph (bar) b. What proportion of the data is greater than 1? c. What proportion of the data is less than 2? 2. If fifty people are grouped into four categories A, B, C, and D, and the number of people found in each category is shown in the following table: Category A B C D Frequency 11 14 20 5 to. What is the variable that is being measured? Is it qualitative or quantitative? b. Draw a bar graph for the above data. c. Draw a pie chart for the above data. d. What proportion of people are in category B, C or D? and. What proportion of people are not in category B?