The statistical data are of two types. These types are
A) Technical data and presentation data
B) Primary data and secondary data
C) Primary data and personal data
D) None of these
Answer
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Hint:
This is like a theory question. Here The statistical data has two types which are numerical data and categorical data.
Complete step by step solution:
When working with statistics, it’s important to recognize the different types of data: numerical (discrete and continuous), categorical, and ordinal. Data are the actual pieces of information that you collect through your study. For example, if you ask five of your friends how many pets they own, they might give you the following data: $0,2,1,4,18$. (The fifth friend might count each of her aquarium fish as a separate pet.) Not all data are numbers; let’s say you also record the gender of each of your friends, getting the following data: male, male, female, male, female.
Most data fall into one of two groups: numerical or categorical.
Numerical data. These data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure; or they’re a count, such as the number of stock shares a person owns, how many teeth a dog has, or how many pages you can read of your favorite book before you fall asleep. Statisticians also call numerical data quantitative data.
Categorical data: Categorical data represent characteristics such as a person’s gender, marital status, hometown, or the types of movies they like. Categorical data can take on numerical values (such as “$1$” indicating male and “$2$” indicating female), but those numbers don’t have mathematical meaning. You couldn’t add them together, for example. (Other names for categorical data are qualitative data, or Yes/No data.)
The statistical data has two types which are numerical data and categorical data.
The correct answer is option (D).
Note:
The statistical data has two types which are numerical data and categorical data. Numerical data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure. Categorical data represent characteristics such as a person’s gender, marital status, hometown, or the types of movies they like.
This is like a theory question. Here The statistical data has two types which are numerical data and categorical data.
Complete step by step solution:
When working with statistics, it’s important to recognize the different types of data: numerical (discrete and continuous), categorical, and ordinal. Data are the actual pieces of information that you collect through your study. For example, if you ask five of your friends how many pets they own, they might give you the following data: $0,2,1,4,18$. (The fifth friend might count each of her aquarium fish as a separate pet.) Not all data are numbers; let’s say you also record the gender of each of your friends, getting the following data: male, male, female, male, female.
Most data fall into one of two groups: numerical or categorical.
Numerical data. These data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure; or they’re a count, such as the number of stock shares a person owns, how many teeth a dog has, or how many pages you can read of your favorite book before you fall asleep. Statisticians also call numerical data quantitative data.
Categorical data: Categorical data represent characteristics such as a person’s gender, marital status, hometown, or the types of movies they like. Categorical data can take on numerical values (such as “$1$” indicating male and “$2$” indicating female), but those numbers don’t have mathematical meaning. You couldn’t add them together, for example. (Other names for categorical data are qualitative data, or Yes/No data.)
The statistical data has two types which are numerical data and categorical data.
The correct answer is option (D).
Note:
The statistical data has two types which are numerical data and categorical data. Numerical data have meaning as a measurement, such as a person’s height, weight, IQ, or blood pressure. Categorical data represent characteristics such as a person’s gender, marital status, hometown, or the types of movies they like.
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