Step 1

Categorical data:

The variable that describes about the characteristic or attribute which has distinct categories is termed as qualitative variables. In other words, these variables divide the cases into two or more groups based on the characteristic. For example, if the subjects are classified based on the literacy rate, then the literacy rate is a categorical variable.

Quantitative data:

The variable that records a numerical quantity is termed as quantitative variable. In other words, these variables can be counted or measured. Age of people, heights of students, land area are some of the examples for quantitative variables.

Step 2

(a)

The platelet counts represent the numbers and that can be counted or measured. Thus, the data set is quantitative data.

(b)

The cigarette brands represent the different categories. Thus, the data set is Categorical data.

(c)

The color of M&M brands represents the different categories. That is, red, orange, yellow, brown, blue and green. Thus, the data set is Categorical data.

(d)

The weights of M&M candies represent the numbers and that can be counted or measured. Thus, the data set is quantitative data.

Categorical data:

The variable that describes about the characteristic or attribute which has distinct categories is termed as qualitative variables. In other words, these variables divide the cases into two or more groups based on the characteristic. For example, if the subjects are classified based on the literacy rate, then the literacy rate is a categorical variable.

Quantitative data:

The variable that records a numerical quantity is termed as quantitative variable. In other words, these variables can be counted or measured. Age of people, heights of students, land area are some of the examples for quantitative variables.

Step 2

(a)

The platelet counts represent the numbers and that can be counted or measured. Thus, the data set is quantitative data.

(b)

The cigarette brands represent the different categories. Thus, the data set is Categorical data.

(c)

The color of M&M brands represents the different categories. That is, red, orange, yellow, brown, blue and green. Thus, the data set is Categorical data.

(d)

The weights of M&M candies represent the numbers and that can be counted or measured. Thus, the data set is quantitative data.