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Im doing a science project for school. The question is Can people taste the difference between regular and reduced fat foods?
I changed the type of foods Oreos and reduced fat oreos, nillas and reduced fat nillas, cheese bits and reduced fat cheese bits
there was 5 people and all of them could taste the difference
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The y-axis on the graph below represents the values taken by the?
By the y variable - whatever that may be. It may be a dependent variable or another independent variable.
What is the difference between the controlled variable and an independent variable?
A controlled variable is one which you try to keep constant. The independent variable is the on that you change. The dependent variable is the one you measure. For instance, how much will a drink cool down in one minute when you add a certain number of ice cubes to it? The independent variable is the number of ice cubes. The dependent variable is the temperature drop. There are many possible controlled variables: the starting temp of the drink, the size of the ice cubes, the type of glass, the air temperature, and so on. See related link below.
True or false The independent variable is the variable that is changed in an experiment?
false
What is the difference between corelation and regression?
I've included links to both these terms. Definitions from these links are given below. Correlation and regression are frequently misunderstood terms. Correlation suggests or indicates that a linear relationship may exist between two random variables, but does not indicate whether X causes Yor Y causes X. In regression, we make the assumption that X as the independent variable can be related to Y, the dependent variable and that an equation of this relationship is useful. Definitions from Wikipedia: In probability theory and statistics, correlation (often measured as a correlation coefficient) indicates the strength and direction of a linear relationship between two random variables. In statistics, regression analysis refers to techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (also called a response variable) and of one or more independent variables (also known as explanatory variables or predictors). The dependent variable in the regression equation is modeled as a function of the independent variables, corresponding parameters ("constants"), and an error term. The error term is treated as a random variable. It represents unexplained variation in the dependent variable. The parameters are estimated so as to give a "best fit" of the data. Most commonly the best fit is evaluated by using the least squares method, but other criteria have also been used.
How often the value of a random variable is at or below a certain value?
How often the value of a random variable is at or below a certain value.
The y-axis on the graph below represents the values taken by the?
By the y variable - whatever that may be. It may be a dependent variable or another independent variable.
What is the difference between the controlled variable and an independent variable?
A controlled variable is one which you try to keep constant. The independent variable is the on that you change. The dependent variable is the one you measure. For instance, how much will a drink cool down in one minute when you add a certain number of ice cubes to it? The independent variable is the number of ice cubes. The dependent variable is the temperature drop. There are many possible controlled variables: the starting temp of the drink, the size of the ice cubes, the type of glass, the air temperature, and so on. See related link below.
What is the scientific term of independent variable?
Independentvariableis:a factor or phenomenon thatcausesorinfluencesanotherassociatedfactor or phenomenon called adependent variable. For example,incomeis an independentvariablebecause it causes and influences another variableconsumption. In a mathematicalequationormodel, the independent variable is the variable whosevalueis given. In anexperiment, it is the controlledcondition(that is allowed tochangein asystematicmanner) whose effect on thebehaviorof a dependent variable is studied. Also calledcontrolled variable,explanatory variable, orpredictor variable. refer to link below
What is the independent variable in Todd's experiment?
There is no independent variable for the experiment described below, since there is no experiment described below.
In an experiment dealing with distance versus velocity which is the independent variable?
In this experiment, distance would be the independent variable because it is being manipulated or controlled to observe its effect on velocity. The velocity would then be the dependent variable, as it is the outcome that is being measured based on the changes in distance.
True or false The independent variable is the variable that is changed in an experiment?
false
What is the dependent variable for how does salt affect the freezing point of water?
The concentration of the salt solution, or salinity. It changes as shown in the related link below.
What are the factors that can change in an experiment called?
The factors that can change in an experiment are called variables. These variables can be independent (the one being manipulated) or dependent (the one being measured). It's important to control as many variables as possible to ensure that any observed effects are due to the manipulated variable.
What is the difference between corelation and regression?
I've included links to both these terms. Definitions from these links are given below. Correlation and regression are frequently misunderstood terms. Correlation suggests or indicates that a linear relationship may exist between two random variables, but does not indicate whether X causes Yor Y causes X. In regression, we make the assumption that X as the independent variable can be related to Y, the dependent variable and that an equation of this relationship is useful. Definitions from Wikipedia: In probability theory and statistics, correlation (often measured as a correlation coefficient) indicates the strength and direction of a linear relationship between two random variables. In statistics, regression analysis refers to techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (also called a response variable) and of one or more independent variables (also known as explanatory variables or predictors). The dependent variable in the regression equation is modeled as a function of the independent variables, corresponding parameters ("constants"), and an error term. The error term is treated as a random variable. It represents unexplained variation in the dependent variable. The parameters are estimated so as to give a "best fit" of the data. Most commonly the best fit is evaluated by using the least squares method, but other criteria have also been used.
Do you have to apply for FAFSA through your parents?
Whether or not you have to provide your parents' information on your FAFSA depends on your dependency status. If you are a dependent student, you will need to provide their information. If you are an independent student, you will not need to provide their information. You can use the Student Aid Dependency Status link below to determine if you are a dependent or independent student for financial aid purposes.
The details are as below?
There are many details in the world. When people choose to describe something they usually list these details below their subject.
How often the value of a random variable is at or below a certain value?
How often the value of a random variable is at or below a certain value.
