Question

Identify two types of variables and four scales of measurement. How they are related with each...

Identify two types of variables and four scales of measurement. How they are related with each other? What is the difference between variables and constants? Why do we need to study variables instead of constants in statistics?

Homework Answers

Answer #1

The two types of variables are i) Qualitative variable and ii) Quantitative variable

The four scales of measurements are i) Nominal ii) Ordinal iii) Interval iv) Ratio

Relation -

A constant is fixed and it does not change it values whereas variable changes with time or depending on the scenario. ex -The price of 5 kg of rice from 2005 to 2019 changes and hence the price of rice is variable. The height of Eiffel tower is constant.

Statistics intends to find a new pattern and predict something valid depending on data. There is nothing to learn about something that is constant, fixed. It is the variable that becomes important for doing research and predictions.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Research involves measurement scales, of which there are four types. In data collection, what sources of...
Research involves measurement scales, of which there are four types. In data collection, what sources of data would you use, and how would you establish reliability and validity? Why did you choose those specific data samples? Question 1 four types of scales Question 2. In data collection, what sources of data would you use, Question 3.and how would you establish reliability and validity? Question 4. Why did you choose those specific data samples?
Research involves measurement scales, of which there are four types. In data collection, what sources of...
Research involves measurement scales, of which there are four types. In data collection, what sources of data would you use, and how would you establish reliability and validity? Why did you choose those specific data samples?
Answer the following 2 questions in your main post: Research involves measurement scales, of which there...
Answer the following 2 questions in your main post: Research involves measurement scales, of which there are four types. In data collection, what sources of data would you use, and how would you establish reliability and validity? Why did you choose those specific data samples? What types of data collection strategies and research design have you experienced—whether for work or through educational means?
(a) In each of the following, determine which of the four levels/scales of measurement (nominal, ordinal,...
(a) In each of the following, determine which of the four levels/scales of measurement (nominal, ordinal, interval, ratio) is most appropriate. (i) Salaries of beginning insurance agents. (ii) Survey responses of: “Strongly agree, agree, disagree, strongly disagree.” (iii) Visa credit card numbers. (iv) Nationalities of students in a survey. (v) Times required to lubricate a car at a garage. (vi) The daily ‘low temperature’ for the last month in your town. (vii) Telephone area codes. (viii) Consumer Reports hotel ratings...
Identify the four types of quality cost, explain briefly in writing how they interact and list...
Identify the four types of quality cost, explain briefly in writing how they interact and list two examples each of the four types of quality costs. Provide an example of an organization using these in their operations.
Give an example of a problem dealing with two possibly related variables (Y and X) for...
Give an example of a problem dealing with two possibly related variables (Y and X) for which a linear regression model would not be appropriate. For example, the relationship could be curved instead of linear, or there may be no significant correlation at all. What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see? You do not need to collect any data. For your response to a classmate...
Think about constructing a rational measurement system,In devising this measurement system, you must choose two “universal...
Think about constructing a rational measurement system,In devising this measurement system, you must choose two “universal constants” that you will use as the basis for your system (such as the speed of light and the mass of an electron, for example). Now, imagine that you want to conduct an experiment that will allow you to accurately measure a third quantity, using the two universal constants you selected, such as the free fall time of an object dropped from a building,...
Give an example of a problem dealing with two possibly related variables (Y and X) for...
Give an example of a problem dealing with two possibly related variables (Y and X) for which a linear regression model would not be appropriate. For example, the relationship could be curved instead of linear, or there may be no significant correlation at all. What is the impact of using a linear regression model in this case? What options, other than linear regression, can you see? You do not need to collect any data. PLEASE DONT COPY ANSWERS THAT ARE...
A Correlation Coefficient is a measurement of the relationship between two variables. A positive correlation means...
A Correlation Coefficient is a measurement of the relationship between two variables. A positive correlation means that as one variable increases, the second variable increases too. A negative correlation means that as one variable increases, the second variable decreases, or as one variable decreases, the second variable increases. Positive and negative correlations exists in nature, science, business, as well as a variety of other fields. Please watch the following video for a graphical explanation of the correlation coefficient: For Discussion...
1. Name two ways in which two variables could be related. Select the two most correct...
1. Name two ways in which two variables could be related. Select the two most correct answers. Choose the correct answer below. A) Strong and moderate B) Moderate and negative C) Weak and moderate D) strong and weak 2. Name a graph that can be used to quickly illustrate the relationship between two variables? Choose the correct answer below. A) Histogram B) Regression line C) Scatter plot D) Time series graph. 3. What do we mean by the strength of...