Nominal Scale
Nominal scale is also known as labels. It is most commonly used for labelling variables without any quantitative values assigned to it. In this classification of data is done without any measurement.
Example:
We can understand the nominal scale in more detail with below example:
A normal question asked to a boy that what is the colour of his hairs and below options are given to him.
a.) Black b.) Brown c.) Gray d.) Blonde e.) Other
If you notice in above example all the mentioned options are mutually exclusive which means no overlap and even none of them carry any numerical significance. The best way to remember is that ‘nominal’ seems more like a ‘name’ and the nominal scale seems like labels.
Let’s take one more example:
What is your gender?
a.) Male b.) Female
In this case, the nominal scale has only 2 categories i.e., male and female and this kind of nominal scale are known as dichotomous.
Sometimes in statistical analysis, non-numeric variables are given numeric values. For example, students who eat healthy breakfast are +1, the students who eat an unhealthy breakfast are 0 and the students who do not eat breakfast are -1. This is the way to get who is in which group but don 't really have value.
Ordinal Scale
An Ordinal scale is a measurement which looks at the variables where order matters but the difference does not matter. While thinking of the ordinal you must think about the word order. Hence, it is easy to remember as in this scale only order
In this case, the independent variable is the gender and the dependent variable is the
A way that company like John Lewis would use this kind of data is in stock reports for example if there are thirty-two watches in stock and the price is twenty-five pound for one then that would be seen as numbers. Some businesses like John Lewis use an automated system to calculate certain information because of this, they can gain useful and accurate information which produces advantage over other business. It is usually harder to argue against quantitative
When you are examined with multiple choice items, you rely on ____________ to select an answer from the alternatives.
Quantitative data is facts that are written in numerical form and then proven. The way Quantitative data is recorded is in numbers. An example of Quantitative data is 55%take bus, 25% take train, 10% walk and 10% car.
2. Data from Likert scales and continuous (e.g. 1-10) rating scales are quantitative. Allows you to measure their feeling on a scale of 1
Measurement that shows the order or rank of items. An example of ordinal could be ranking places in a contest, or test scores.
b. Ordinal: This is a measurement that represent the order of a particular stat. A good example of this would the placement in a contest, 1st, 2nd, and 3rd.
Descriptive statistics are digits that are used to summarize and describe a given range of data (Klenke, 2008). Basic descriptive data includes, mean, median, mode, variance and standard deviation. The data can be rearranged in an ascending order as follows:
*. _____ involves a sense of one’s own gender, including knowledge, understanding, and acceptance of being male or female.
Answer: The variable is nominal because the question is asking for what type of diabetes a person has and is put into 3 categories.
The design included a number of survey questions with varying number of choices. Most of the questions required the surveyed person to decide on scales of 1-3 or 1-4. This will allow those taking the survey to find where they fit, but will not determine if certain parameters are a little above the middle or greatly above the middle like question 4a which states has increased or has decreased – we wont know by how much or how impressive it might be.
~ Petrina and Horace will rate the bananas chosen for the sample on a scale from 1 to 5. The data collected will be ordinal. Using Petrina and Horace is valid because they both have a keen sensibility for the quality of bananas. Each of them has a broad experience in tasting bananas. They are capable of discerning many gradations of banana quality. They are reliable because they are both accounting professionals and can be trusted to accurately and precisely rate each banana they taste. Using Petrina and Horace is practical because their office is next to the warehouse where all the bananas are stored.
Second. The second part of the CPI report provides you a classification for type and a classification for level along with the corresponding scores. CPI report uses T-score to make sense your scores which means that CPI compares your score with other individuals’ scores in the U.S. You will see raw
▪ This structure creates bias with the wording. A numerical scale from 1-5 or 1-7 would be ideal.