Data can be categorized into different categories and sub-categories as below: Q

ID: 3742864 • Letter: D

Question

Data can be categorized into different categories and sub-categories as below:

Qualitative

Quantitative

Discrete

Continuous

Note: Discrete data (mostly whole numbers) is counted whereas Continuous (can contain decimal values) data is measured.

Based on the above categorization, identify the type of data in below statements:

First one is solved as an example:

EXAMPLE: Dog has 4 legs.

Answer: Quantitative Data – Discrete

1)The cat weighs 25.5 pounds

2) The most common name in our country is Michael.

3) Alicia has 5 kittens.

4) Amazon sells about 4 Million products.

5) The distance between the two cities is 80 miles.

6) The company’s revenue increased by 20% in year 2017.

7) Total number of patients seen by Dr. Sue is 256 last month

8) It took 4 years for the museum to complete its construction

9) He weighed 160 lbs last year and is attempting to reduce it to 130lbs in next two years.

10) The average age of a student is 23 years in this university.

1) Quantitative data - Continuous, as weight is measured

2) Qualitative data, as does not involve any numbers to represent data

3) Quantitative Data – Discrete, as kittens are counted

4) Quantitative Data – Discrete, as products are counted

5) Quantitative Data – Continuous, as distance is measured

6) Quantitative Data – Continuous, as revenue is calculated/measured

7) Quantitative Data – Discrete, as patients are counted

8) Quantitative Data – Continuous, as time i.e. years to construct are measured

9) Quantitative Data – Continuous, as weights are measured

10) Quantitative Data – Continuous, as average age is measured/calculated

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