Given the definitions of Qualitative and Quantitative make an educated guess where these would be placed

Qualitative data are the result of categorizing or describing attributes of a population.

Quantitative data are the result of counting or measuring attributes of a population.

Hair Color

Money

Blood Type

Number or students in school

Jersey Number

The data are the weights of backpacks with books in them. You sample the same five students. The weights (in pounds) of their backpacks are 6.2, 7, 6.8, 9.1, 4.3. Notice that backpacks carrying three books can have different weights.

The data are the colors of backpacks. Again, you sample the same five students. One student has a red backpack, two students have black backpacks, one student has a green backpack, and one student has a gray backpack.

The data are the areas of lawns in square feet. You sample five houses. The areas of the lawns are 144 sq. feet, 160 sq. feet, 190 sq. feet, 180 sq. feet, and 210 sq. feet. What type of data is this?

The data are the colors of houses. You sample five houses. The colors of the houses are white, yellow, white, red, and white.

The data are the number of machines in a gym. You sample five gyms. One gym has 12 machines, one gym has 15 machines, one gym has ten machines, one gym has 22 machines, and the other gym has 20 machines.

b. The type of car you drive

c. The distance it is from your home to the nearest grocery store

d. The number of classes you take per school year

e. The type of calculator you use

f. Weights of dogs at an animal shelter

g. Number of correct answers on a quiz

h .A statistics professor collects information about the classification of her students as first-year students, sophomores, juniors, or seniors.

i. The registrar at State University keeps records of the number of credit hours students complete each semester. The data collected are summarized in the histogram. The class boundaries are 10 to less than 13, 13 to less than 16, 16 to less than 19, 19 to less than 22, and 22 to less than 25.

Determine what is the type of sampling in each case

1. A sample of 100 undergraduate San Jose State students is taken by organizing the students’ names by classification (first-year, sophomore, junior, or senior), and then selecting 25 students from each.

   A random number generator is used to select a student from the alphabetical listing of all undergraduate students in the Fall semester. Starting with that student, every 50th student is chosen until 75 students are included in the sample.

2. A completely random method is used to select 75 students. Each undergraduate student in the fall semester has the same probability of being chosen at any stage of the sampling process.

   The first-year, sophomore, junior, and senior years are numbered one, two, three, and four, respectively. A random number generator is used to pick two of those years. All students in those two years are in the sample.

3. An administrative assistant is asked to stand in front of the library one Wednesday and to ask the first 100 undergraduate students he encounters what they paid for tuition the Fall semester. Those 100 students are the sample.

   A soccer coach selects six players from a group of boys aged eight to ten, seven players from a group of boys aged 11 to 12, and three players from a group of boys aged 13 to 14 to form a recreational soccer team.

4. A pollster interviews all human resource personnel in five different high tech companies.

   A high school educational researcher interviews 50 public high school teachers and 50 private high school teachers.

5. A medical researcher interviews every third cancer patient from a list of cancer patients at a local hospital.

   A high school counselor uses a computer to generate 50 random numbers and then picks students whose names correspond to the numbers.

6. A student interviews classmates in their algebra class to determine how many pairs of jeans a student owns, on the average.