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Dr Doodley Essay

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Dr Doodley Essay
Dr. Doodley wants to discover if listening to fast music helps people enhance their work performance and helps them score higher in their average performance rating. Her experiment predicts that fast music enhances people’s work productivity. In this experiment, the speed of the music played in the office causes changes in the people’s average performance rating, thus, the scores people get on their average performance rating are dependent variables, and the speeds of the music being played are independent variables. The experimental group is defined as “the group that receives the variable being tested in an experiments”. In this study, the experimental groups are both the first and second pool that receive the tested variables in their office. …show more content…
Doodley’s experiment is a convincing experimental study with logical reasoning in the way the study is designed and organized. Nevertheless, there is a few problems detected in this experimental study. First, as previously mentioned, the study is lacked of a control group. This may have resulted an inaccurate conclusion. Moreover, the slow music had a hissing that will affect the result of the slow music group and consequently provide an unreliable information. According to the original conclusion, Dr. Doodley concludes that fast music enhances performance; whereas, due to the missing of the controlled group and the use of flawed sampling, the experimental outcome really indicates that fast music only enhances performance relative to hissing slow music. In additionally, her sampling pool of participants in this study is completely bias. Sampling bias is defined as “a bias in which a sample is collected in such a way that some members of the intended population are less likely to be included that others”. Since all of the participants in both tested pools are women, the selection of the sample in this experimental study is bias. The study should be fairly conducted to obtain an unbiased statistic of the true parameter for a representative population, which are both men and women. Bias should be avoided in research, because it can result in unrepresentative outcomes. Failure to recognize and rectify bias sampling can be a further cause of systematic error in the

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