categorical data is data that can be assigned to distinct non-overlapping categories. ex: What cell phone provider do you use?
response: {Telus, Bell Aliant, Telus, Bell Aliant, Rogers,Rogers,Koodo, Rogers, Telus Rogers}.
The responses to question one fit into four categories
numerical data set is when the data is compromised of numbers, specifically different amounts of money.
ex: What was your cell phone bill for the previous month?
response:{$27.50, $33.50, $45.70, $32.00, $54.90, $29.00, $43.65, $67.40, $35.89, $$39.67}.
Basically categorical variable yield data in the categories e.g sex (male, female), modes of transport (Bus, railway, etc) and numerical variables yield data in numerical form e.g. age (0-100), number of accident on a certain highway (0,1,2,..).
Can the median and mode be used to describe both categorical data and numerical data
Categorical data (or variable) consists of names representing categories. For example, the gender (categories of male & female) of the people where you work or go to school; or the make of cars in the parking lot (categories of Ford, GM, Toyota, Mazda, KIA, etc) is categorical data. Numerical data (or variable) consists of numbers that represent counts or measurements. For example, the number of males & females where you work or go to school; or the number of the make of cars Ford, GM, Toyota, Mazda, KIA, etc is numerical data.
It can be used to describe continuous or discreet data but not categorical or ordered data, unless that data is also numercal which is very unlikely
false
Basically categorical variable yield data in the categories e.g sex (male, female), modes of transport (Bus, railway, etc) and numerical variables yield data in numerical form e.g. age (0-100), number of accident on a certain highway (0,1,2,..).
Can the median and mode be used to describe both categorical data and numerical data
yes because if you have categorical data you need the range for the value of the numbers so it would be the same for numerical data
Numerical data is numbers. Non-numerical data is anything else.
Categorical data (or variable) consists of names representing categories. For example, the gender (categories of male & female) of the people where you work or go to school; or the make of cars in the parking lot (categories of Ford, GM, Toyota, Mazda, KIA, etc) is categorical data. Numerical data (or variable) consists of numbers that represent counts or measurements. For example, the number of males & females where you work or go to school; or the number of the make of cars Ford, GM, Toyota, Mazda, KIA, etc is numerical data.
Categorical
It can be used to describe continuous or discreet data but not categorical or ordered data, unless that data is also numercal which is very unlikely
Not sure about steam-and-leaf but a stem-and-leaf plot is used for numerical data.
false
Types of statistical data include; 1.Numerical 2.Categorical 3.Ordinal
No. A median makes no sense for categorical data. For example, if you have 10 red cars, 15 blue cars and 20 black cars, what is the median?
The range is the difference between the greatest and least numbers.