Math 10 MPS - Grouping raw data Here is Data collected from 20 Students at De Anza College - the city they live in and time (minutes) to get to the campus. CITY TIME CITY TIME CITY TIME San Jose 20 San Jose 30 San Jose 35 San Jose 25 San Jose 25 Santa Clara 35 Cupertino 10 Santa Clara 80 San Jose 15 San Jose 34 San Jose 44 Santa Clara 25 Cupertino 15 Campbell 31 San Jose 20 San Jose 45 San Jose 13 San Jose 26 Santa Clara 35 Milpitas 50 1. What type and level of data is CITY? 2. What Type and Level of Data is TIME? 3. Group the CITY data into categories. Calculate the frequencies and relative frequencies. City Frequency Relative Frequency San Jose Cupertino Santa Clara Campbell Milpitas Total 4. Create a relative frequency bar graph of the CITY data. (Edit the drawing or insert your own) San Jose Cupertino Campbell Santa Clara Milpitas 5. For the TIME data, calculate the range of the data (high minus low) 6. Determine the needed interval width for 5 class intervals (range +1)/5 rounded up to an integer. 7. Group the TIME data into 5 intervals of equal width starting with the lowest number. Calculate the frequency, relative frequency and cumulative relative frequency. Interval Frequency ( , ) ( , ) ( , ) ( , ) ( , ) Relative Frequency Total 8. Create a histogram of the TIME data (Edit the drawing or insert your own) ` 9. Describe the shape of the histogram data (center, shape, spread, anything unusual). 10. Determine the mean and median of the TIME data and use this information to determine the skewness. Is this result consistent with the histogram