QNT351 Week 1 DQ 2
QNT351 Week 1 DQ 2
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Date Created: 11/14/15
QNT/351 Version 3 Quantitative Analysis for Business Week 1, DQ 2 How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in every research? Explain why or why not. Provide examples. RESPONSE I would define a variable as anything that has the potential to impact the outcome of a situation. For instance, I leave my house at 8am each day. While I can usually get to work in 30 minutes, there are variables that can come into play that will impact how long it takes to get to work. I might get stuck in traffic because of an accident, or I might run out of gas. These variables will impact the overall outcome, which is "how long it took me to get to work". A dependent variable is one that is dependent upon the other. In my case, the independent variable is how long it will take me to get to work. The dependent variable is how bad the car accident is and how long it takes to open the road back up in full force. I think that both variables should be used in research because that's the only way to know the true possibilities. RESPONSE 2 A variable is a characteristic or property of an individual experimental unit. The dependent variable is dependent on independent variables. An independent variable is used as a manipulator in an experiment to observe the effect or outcome of a dependent variable. I do not know if both variables are used in every research but I think they should be. An example is trying to determine if students test better when they have 8 hours of sleep or more and eat a balanced breakfast. The independent variables are the amount of sleep and type of breakfast eaten. The dependent variable is the test scores. RESPONSE 3 According to McClave, Benson and Sincich (2011), a variable is "a characteristic or property of an individual experimental unit." The reason it is called "variable" is because any detail about it can vary in a population. A dependent variable is dependent on other criteria such as an independent variable. The independent variable i the cause of the dependent variable and the dependent variable is the result of the independent variable. I do think both variable take place in every research. People want to know what causes things to happen, and they want to know the effects of certain causes. An independent variable could be smoking cigarettes, while the dependent variable could be the result of the independent variable. The dependent variable in this case would be getting cancer from the independent variable of smoking cigarettes. Without knowing cigarette smoking (independent variable) caused cancer (dependent variable), a lot more people would smoke, and because of this, die. Knowing this helps people to be healthier. Also, if a company wanted to know the consequences of it's actions, it would examine independent and dependent variables in its research. It might help owners or manager know what motivates its clients and generates or increases income, and what decreases it. If one marketing strategy typically produced, say, 35 percent better results or return on investment than a different marketing strategy, that would be the most effective and the choice the company would want to use. I don't believe any business would say "let's make less money and do poorly," as the purpose of any business is, ultimately, to make money. Source: McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for business and economics (11th ed.). Boston, MA: PearsonPrentice Hall. RESPONSE 4 How would you define a variable? What is the difference between a dependent and independent variable? Do you think both variables are used in every research? Explain why or why not. Provide examples. There are three categories of variables in every experiment, survey responses and decision making processes. Variables are used to find, or remove information that is, or is not relevant to the study. These variables are known as dependent, independent, and controlled. A Dependent variable is defined as what will be measured, or what the investigator thinks will be affected during the experiment. An independent variable is what is varied during the experiment, or the person in charge thinks will affect the dependent variable. The controlled variables are the variables held constant. Since the researcher wants to study the effect of one particular independent variable, the possibility that other factors are affecting the outcome must be eliminated. There may be times when only one type of variable is used, however the information that is gathered in a method such as this may not truly represent the data desired. When surveys, presented by any research individual, asks questions and asks you to rate answers the responses generally have a numerical range, which run from a 1 (Strongly Agree) to a 5 (Strongly Disagree). This type of quantitative measurement allows opinions to be statistically analyzed and evaluated. To discover more pertinent data the same researcher should also ask questions aimed at specific targets. The combination of data will provide an accurate vision of the research.For example in scientific studies the researcher has placed a control group beside the test group to determine if the answers are accurate, or if the variables do not make a difference. If the facilitator only studies the effects on one group he or she will notice some variances in the test subjects, however if these measurements can be compared to a control group the information will be more reliable. Another statistical example is used by the university in the end of course surveys. This gives the school vital information about the staff, the student thoughts about the school in general, and if changes should be placed into action. RESPONSE 5 A variable is a characteristic that is used to define/describe a person, place, or thing. In statistics there are two classifications. A qualitative variable is one that assumes a name or label like a color (purple marble). Qualitative variables can also be referred to as categorical variables, which I find easier to remember because calling it categorical defines what it symbolizes. The second type of variable is quantitative and these variables are numeric and are a measurable value. An example would be a population of a city or the number of employees in an organization (StatSoft Electronic Statistics Textbook, 2012). The independent variable are the variables that are manipulated to analyze the effect on the dependent variable. An example would be students who participate in a study group and the students that passed the class. The independent variable would be the students who took part in the study group and the dependent variable would be the passing rate(StatSoft Electronic Statistics Textbook, 2012). My first answer is to say that yes, both variables are used in every research. A dependent variable is named such, because it is dependent on the independent variable. But, where I am questioning my answer is what if it is determined the independent variable does not have an affect on a dependent variable. There would presumably still be a dependent variable in order to determine the lack of affect, but if the dependent variable is not affected then it is not dependent on the independent variable and that goes against what I stated above about independent variables. I am going in circles with this thinking, but I am still leaning towards the belief that both variables are present in every research. I just cannot get my head around the idea that you can have one without the other. References StatSoft Electronic Statistics Textbook. (2012). Getting started with statistics concepts. Retrieved from http://www.statsoft.com/textbook/elementarystatistics concepts/
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