Recycle Essay

374 WordsSep 1, 20142 Pages
“Failing to reject the null” is the same as “accepting the null”. Most outcomes aren’t black or white. They are inconclusive because they are often affected by a variety of other outside factors. That is why when scientists conduct experiments with control groups. They test one thing and get the results. Once they get the results for this experiment, they test other variables. Let’s examine the null: Women who have children are no less happy than women who do not have children. You will be measuring if women who have children are happier than women who do not have children deviates from the mean. From testing the control group, you will discover that happiness is based on many aspects of a person’s life. It will hard to tell if either side would have been happier because the experience of motherhood if different and challenging to each individual. Thereby, then the null cannot be accepted or rejected. A fail test does not prove the null hypothesis. Many of us know the saying “the grass is always greener of the other side”. Women with children may later regret not focusing a career, losing their youth, and missing out on personal opportunities. Women without children may later regret not experiencing motherhood. For a woman to be happy all factors in the lives must have balance. Thereby, a fail test in this hypothesis may indicate the hypothesis has too many components to consider in order to come up with a definite answer as to rather or not motherhood affect happiness. Take a position on this statement: In setting up a hypothesis test, the claim should always be written in the alternative hypothesis. Provide one (1) example to support your position. The alternative hypothesis, denoted by H1 or Ha, is the hypothesis that sample observations are influenced by some non-random cause. By writing the hypothesis as an alternative, scientists can determine the

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