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What else can I help you with?
Quantitative variables can be separated into what two types?
nominal and ordinal is wrong; those are the two types of qualitative variables. Ratio and interval are the two types of quantitative variables.
Does a crosstabulation have to have both categorical and quantitative?
No, a crosstabulation does not have to include both categorical and quantitative variables. It is primarily used to summarize the relationship between two categorical variables. However, quantitative variables can be categorized into groups or bins to create a crosstabulation, but it's not a requirement.
A graphical presentation of the relationship between two quantitative variables is?
A scatter diagram.
Is regression can be calculated with different scale of measurement of two variables?
Yes.
Is anova qualitative or quantitative?
! ANOVA is generally computed for two or more QUANTITATIVE variables. If the quantitative variables are two or less in number, people prefer the t test (one sample t, paired t, or independent samples t) The Independent variable however is qualitative( for example, Girls and boys or Names of Schools.) It is the dependent variable that is Quantitative (for example, the ages - 2, 5 , 70, etc or weight or number of somethings). If you have 2 independent variables, you go for the two way ANOVA. Else, it's the one way ANOVA. !
A correlation of zero between two quantitative variables means that?
It means there is no discernable relationship between the two variables. Knowing one variable does not give you any help in working out the other. They are independent of each other.
When an inference procedure is done involving a comparison of two quantitative variables how is the choice between using a two-sample t test or a one-sample matched-pairs test determined?
A matched test is appropriate only if the two variables are measures taken for the same subject.
Differentiate the two system of measurement?
A measurement must be quantitative, as the result is a quantity. A qualitative property is something that can't be measured, such as your opinion of someone, or of a book you have read. Absolutely incorrect. In science you have both qualitative and quantitative measurements. A quantitative measurement is just as it sounds, measuring the quantity of something. A qualitative measurement systematically measures the quality of a system. Temperature is a qualitative measurement of heat. Where as heat is a quantitative measurement of energy. You can't "add" temperature but you can "add" heat to a system by increasing the temperature or the mass of the system. Mass is a quantitative measurement, where as weight is a qualitative measurement of the force of gravity on a mass and is dependent on where it is measured (gravity). If you can "add" or "subtract" something it is quantitative. If you can only "change" it it is qualitative. Thus it is scientifically incorrect to say "adding weight", you must say "increasing weight".
What measures the strength of the linear relationship between two quantitative variables?
The strength of the linear relationship between two quantitative variables is measured by the correlation coefficient. The correlation coefficient, denoted by "r," ranges from -1 to 1. A value of 1 indicates a perfect positive linear relationship, -1 indicates a perfect negative linear relationship, and 0 indicates no linear relationship. The closer the absolute value of the correlation coefficient is to 1, the stronger the linear relationship between the variables.
What are the two types of system measurement?
The MKS-ISO metric system and the CGS-ISO metric system. The American, Imperial, or customary units of measurement are not a system at all, they are an accumulation of antique units.
What does the power vs force graph reveal about the relationship between the two variables?
The power vs force graph shows that as power increases, force also tends to increase. This indicates a positive relationship between the two variables, where higher levels of power are associated with higher levels of force.
What are two variables that must be kept constant for this experiment?
In an experiment, variables that must be kept constant are called control variables. Two common examples include temperature and pH levels. These variables should be kept constant to ensure that any changes observed in the dependent variable are a result of the independent variable being tested.
