Contents
What do statistical tests do?
A statistical test provides a mechanism for making quantitative decisions about a process or processes. The intent is to determine whether there is enough evidence to “reject” a conjecture or hypothesis about the process. The conjecture is called the null hypothesis.
What are the basic statistical measures?
The mean, median, mode, percentiles, range, variance, and standard deviation are the most commonly used numerical measures for quantitative data. The mean, often called the average, is computed by adding all the data values for a variable and dividing the sum by the number of data values.
How is a static group design different from an experimental design?
C. Static Group Design: With the Static Group design there is a Control Group (CG) in addition to the Experimental Group (EG). The experimental group is exposed to the treatment while the control group is not. Test units, however, are not randomly assigned to the control or experimental groups.
Which is the best design for statistical control?
Statistical control uses various sophisticated statistical techniques to exclude the influence of extraneous variables from an analysis. The most commonly used Statistical Research Designs are the Randomized Block Design, the Latin Square Design, and the Factorial Design.
What do you need to design a controlled experiment?
To design a controlled experiment, you need: A testable hypothesis; At least one independent variable that can be precisely manipulated; At least one dependent variable that can be precisely measured; When designing the experiment, you decide: How you will manipulate the variable(s) How you will control for any potential confounding variables
Which is an independent variable in experimental design?
The independent variable is the amount of nutrients added to the crop field. The dependent variable is the biomass of the crops at harvest time. Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design. What is a confounding variable?