Answer:

1. Statistics is the practice or science of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample.

2. The data type, in which the classification of objects is based on attributes (quality) is called qualitative data. The type of data which can be counted and expressed in numbers and values is called quantitative data.

3. A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring.

4. It is mostly used to keep records, calculate probabilities, and provide knowledge. Basically, it helps us understand the world a little bit better through numbers and other quantitative information. Thus, the application of statistics is evident in our everyday activities.

Answer:

1. the practice or science of collecting and analyzing numerical data in large quantities, especially for the purpose of inferring proportions in a whole from those in a representative sample.

2. Quantitative analysis, in several contexts, such as chemistry, finance, or business, refers to understanding the condition using mathematical approach. However, statistics is the science of collecting data, processing them into a valuable information, then analysing them.

3. A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring.

4. it help us understand our past and make predictions about the future. Using statistics, we can analyze data in different fields to monitor changing patterns, then use this analysis to draw conclusions and make forecasts.