OUTLINE OF EXPERIMENTAL DESIGN PROCEDURE
Experiments are carried out by researchers or engineers in all fields of study to compare the effects of several conditions or to discover something new. If an experiment is to be performed most efficiently, then a scientific approach to planning it must be considered. The statistical design of experiments is the process of planning experiments so that appropriate data will be collected, the minimum number of experiments will be performed to acquire the necessary technical information, and suitable statistical methods will be used to analyze the collected data. The statistical approach to experimental design is necessary if we wish to draw meaningful conclusions from the data. Thus, there are two aspects to any experimental design: the design of the experiment and the statistical analysis of the collected data. They are closely related, since the method of statistical analysis d depends on the design employed. An outline of the recommended procedure for an experimental design is shown in Figure 3.1 and briefly explained below. Figure : outline of experimental design procedure
Experiments are carried out by researchers or engineers in all fields of study to compare the effects of several conditions or to discover something new. If an experiment is to be performed most efficiently, then a scientific approach to planning must be considered. The statistical design of experiments is the process of planning experiments so that
designing an experiment, we have to design an experiment and we need to confirm the
each ObScertainer. I formed a hypothesis for each one, then I took retests to make more
In our Penny Lab, we wanted to extend what we were told to do with experimental design. We’re doing this because we wanted to prove what he thought our hypothesis had been, and a hypothesis can not be true unless it can be tested. We investigated what variables made the Penny Lab easier, or harder. As a class we decided to investigate variables like, dropping the penny from the same height, and applying the same pressure to the penny for each drop. But first we had to know what variables were, and which variables we needed to use in the experiment. The variables were, the independent variable, dependent variable, the experimental group, and the control group. We investigated this to show how much water a penny could hold, but we introduced
•Be sure to write a detailed procedure for each lab design so that the same procedure can be followed accurately by anyone who reads it. Include details on the setup, the control of variables, and how the rate of each trial will be compared.
Describe the experimental method, state its advantages and disadvantages, and distinguish between independent and dependent variables.
Describe the experimental method, state its advantages and disadvantages, and distinguish between independent and dependent variables.
Instructions: This is a group activity that you will start in class and complete at home. For each of the following, note, whether the research design used is an experiment, a quasi-experiment, or a correlational approach and why. If a study is an experiment, identify the independent variable and the dependent variable. Please type your answers in complete sentences.
Experimental research concentrates on how and why something happens. It is the evaluation of how an independent variable (a manipulated factor) affects a dependent variable (an observed factor). The outcome can be affected by a number of elements; obtaining random and representative samples of the study population, experimenter bias and extraneous variables.
including the main method used to accomplish the purpose. Ex: The purpose of the experiment
2. _C____ Divide your subjects in half. One group receives one treatment of the independent variable and the other group receives a different treatment of the independent variable. Subjects were all told they were going to see a video of a therapist's session after which they would rate the quality of the session. The groups differed in that the subjects in one group were told that prior evaluations indicated that the therapist was effective whereas subjects in the other group were told that the evaluations indicated the therapist was not effective. These different subjects were used for the two levels of the independent variable: subjects were in either the "effective therapist" or the "ineffective therapist" condition.
8. The people who make up this article is the students from 7 different universities. It was rather representative because they were from universities that were located across the US, not just from one specific area. This was a unsystematic selection procedure because they weren’t from specific groups or students, just casual students from the seven different universities which created a representative sample of a big population.
Experimental design research tends to use math and statistics to try to prove or disprove a hypothesis. Within an experimental design most of the research is controlled and leaves little room for error. One advantage of experimental design is that it is hard to disprove the results. However, a disadvantage is that because the conditions are controlled that makes the results too perfect. If the same experiment was conducted in an uncontrolled setting, such as the real world, the results would vary.
The scientific question of the project was, Does the size of a tire affect the bike’s speed? The hypothesis was , If the smaller tires were used, then the bike would go faster. The important procedures were: Make sure all equipment is ready. Test the standard wheel of 1 rotation or pedal a second to ride to the finish line. Test smaller and bigger wheels. Record data and have at least 3 trials. Record the data on a piece of paper and compare results to your hypothesis. The Independent variable is the size of the wheel on the bike. The Dependent variable is the standard wheel or tire on the bike. The control group was the bike’s speed and the standard wheel or tire. The Experimental group is the other tires or wheels being tested on the bike. The control variables were the rate of pedaling , the same bike model was used, and the same distance for
Finally, we determine and recommend what would have been the best techniques to use, in terms of the selection of samples and choice of the sample size in determining the capability and the capability potential of the equipment and production process.
The treatments that are assigned completely at random so that each experimental unit has the same chance of receiving any one treatment is known as, a Completely Randomized Design (CRD). It is assumed that all experimental units are uniform. Any difference among experimental units receiving the same treatment in the CRD is considered as experimental error. Thus, Completely Randomized Design is suitable just for the tests involving homogeneous experimental units, for example, lab research, where ecological effects are generally easy to control. The CRD is the simplest of all designs. The replications of treatments are assigned completely at random to independent experimental subjects. It is equivalent to a t-test when only two treatments are