alternitive hypothesis
HYPOTHESIS: a hypothesis is what you think will happen. You should try starting it off with my hypothesis is... next it will.... then it will... finally it will...
It means that the experiment is consistent with the hypothesis. It adds to the credibility of the hypothesis.
Not sure about an interactive hypothesis: are you sure you don't mean alternative hypothesis?
It means tell them how your hypothesis was right or not.
A prediction that states both an independent and a dependent variable is called a hypothesis. A hypothesis is stated as such: if "independent statement", then "dependent statement."
Helps students organize identify independent variable, dependent variable, and constants in an experimental design. This information is then used to write an if/then statement for a hypothesis.
You can compare the means of two dependent or independent samples. You can also set up confidence intervals. For independent samples you test the claim that the two means are not equal; the null hypothesis is mean1 equals mean2. The alternative hypothesis is mean1 does not equal mean2. For dependent (paired) samples you test the claim that the mean of the differences are not equal; the null hypothesis is the difference equals zero; the alternative hypothesis is the difference does not equal zero.
independent
dependent mean dependent othewise not dependent
The two main types of hypotheses are simple and complex hypothesis. The simple hypothesis predicts the relationship between a single dependent and independent variables. On the other hand, the complex hypothesis describes the relation between two or more dependent and independent variables.
In a hypothesis, the independent variable is the factor that is manipulated or changed, while the dependent variable is the factor that is measured or observed to see how it is affected by the independent variable. The relationship between them is that changes in the independent variable are believed to cause changes in the dependent variable, allowing researchers to test their hypothesis and draw conclusions.
A hypothesis is a testable statement or prediction about the relationship between variables in a research study. Variables are the elements that can change or vary, typically classified as independent (manipulated) and dependent (measured). The hypothesis often posits how changes in the independent variable will affect the dependent variable, guiding the research design and experimentation. Thus, the relationship between a hypothesis and variables is foundational for empirical investigation and analysis.
alternitive hypothesis
This means the data supported the hypothesis.
A test using relative errors comparing factors in a contingency table to determine if the factors are dependent; the null hypothesis is that the factors are independent.
The null hypothesis is that there is no change in the population mean while the alternative hypothesis is that there is a change in the mean. The null hypothesis is stated as Ho:Mu=? in statistics while the alternative hypothesis is stated as Ho:Mu(<,>,≠)? depending on whether you are looking for mu to be greater, less than, or not equal to population mean.