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Statistics

Statistics. 1.5 Design of an Experiment Objective: to identify and design an experiment. Design of an Experiment. Measure the effect of explanatory variables (factors) on the Response Variable The keys to successful replication are control and randomization.

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Statistics

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  1. Statistics 1.5 Design of an Experiment Objective: to identify and design an experiment

  2. Design of an Experiment Measure the effect of explanatory variables (factors) on the Response Variable The keys to successful replication are control and randomization

  3. Designing an Experiment • Identify the problem • Determine the factors • Determine the number of experimental units • Determine the level of factors • Control, Manipulate, or Randomize • Conduct the experiment • Test the claim

  4. Example • Let’s go through the steps to design an experiment that will test the effectiveness of a new reading program. . .

  5. Types of Design • Completely Randomized Design page 43 • Matched Pairs page 44 • Randomized Block Design page 46

  6. Example A local golf pro wanted to compare two styles of golf club. One had a graphite shaft and the other had the latest style of steel shaft. Each player was asked to hit one ball with the graphite-shafted club and one with the other club. The distance that the ball traveled was determined. A coin flip was used to determine whether the player hit the graphite club or the steel club first. Results indicated that the distance was no different when using the latest style of club. Type of design? Response variable? Factor? Treatment? Experimental Units? Matched-Pairs Design Distance ball is hit Shaft type Graphite versus steel Each player

  7. Assignment 1.5 page 47 5 – 19 odd Outside of class, search a newspaper, magazine, or internet for an article that describes an experiment. Identify the population, experimental unit, response variable, treatment, and factors.

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