One is to state it as a declarative sentence, and the other is to present it as a mathematical statement.For example, say a researcher suspects that exercise is correlated to weight loss, assuming diet remains unchanged.

Rephrase that question in a form that assumes no relationship between the variables. Rephrase that question in a form that assumes no relationship between the variables. The There are two ways to state a null hypothesis. that a potential treatment has a measurable effect)—is a central task in the modern practice of science; the fie… The short answer is that it is part of the scientific method. The researcher wants to test whether weight loss takes longer to occur if the number of workouts is reduced to three times a week.The first step to writing the null hypothesis is to find the (alternate) hypothesis. In other words, assume a treatment has no effect. The average length of time to achieve a certain amount of weight loss is six weeks when a person works out five times a week. The null hypothesis is that the means at the two times or under the two conditions are the same in the population. The researcher suspects the hypothesis to be true (and thus is doing research to support the hypothesis), but the null hypothesis is the hypothesis the researcher tries to disprove. If the null hypothesis is true, any observed difference in phenomena or populations would be due to sampling error (random chance) or experimental error. The simplistic definition is that the null hypothesis is the opposite of the hypothesis being tested. Write your hypothesis in a way that reflects this. Also, while the null hypothesis may be simply stated, there's a good chance the alternate hypothesis is incorrect.For example, if your null hypothesis is that plant growth is unaffected by duration of sunlight, you could state the alternate hypothesis in several different ways. Confused? In a scientific experiment, the null hypothesis is the proposition that there is no effect or no relationship between phenomena or populations. There are clear exceptions to those alternate hypotheses, so if you test the wrong plants, you could reach the wrong conclusion. "Hyperactivity is unrelated to eating sugar" is an example of a null hypothesis. In inferential statistics, the null hypothesis (often denoted H0, ) is a general statement or default position that there is no relationship between two measured phenomena or no association among groups. For this example, it would be that reducing the number of workouts would not affect the time needed to achieve weight loss:Another example of a null hypothesis is "Plant growth rate is unaffected by the presence of cadmium in the You may be wondering why you would want to test a hypothesis just to find it false. If the hypothesis is tested and found to be false, using statistics, then a connection between hyperactivity and sugar ingestion may be indicated. In general, however, the researcher’s goal is not to draw conclusions about that sample but to draw conclusions about the population that the sample was selected from. How about an example? For example, one may want to compare the test scores of two random samples of men and women, and ask whether or not one population has a mean score different from the other. As we have seen, psychological research typically involves measuring one or more variables for a sample and computing descriptive statistics for that sample. The null hypothesis is a general statement that can be used to develop an alternate hypothesis, which may or may not be correct.

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