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  1. Feb 15, 2022 · It is one of two mutually exclusive hypotheses about a population in a hypothesis test. When your sample contains sufficient evidence, you can reject the null and conclude that the effect is statistically significant. Statisticians often denote the null hypothesis as H 0 or H A. Null Hypothesis H0: No effect exists in the population.

    • Weight of Turtles. A biologist wants to test whether or not the true mean weight of a certain species of turtles is 300 pounds. To test this, he goes out and measures the weight of a random sample of 40 turtles.
    • Height of Males. It’s assumed that the mean height of males in a certain city is 68 inches. However, an independent researcher believes the true mean height is greater than 68 inches.
    • Graduation Rates. A university states that 80% of all students graduate on time. However, an independent researcher believes that less than 80% of all students graduate on time.
    • Burger Weights. A food researcher wants to test whether or not the true mean weight of a burger at a certain restaurant is 7 ounces. To test this, he goes out and measures the weight of a random sample of 20 burgers from this restaurant.
  2. Jul 31, 2023 · Rejecting the null hypothesis means that a relationship does exist between a set of variables and the effect is statistically significant (p > 0.05). If the data collected from the random sample is not statistically significance , then the null hypothesis will be accepted, and the researchers can conclude that there is no relationship between the variables.

  3. Step 1: Figure out the hypothesis from the problem. The hypothesis is usually hidden in a word problem, and is sometimes a statement of what you expect to happen in the experiment. The hypothesis in the above question is “I expect the average recovery period to be greater than 8.2 weeks.”. Step 2: Convert the hypothesis to math.

  4. Oct 5, 2022 · The null and alternative hypotheses offer competing answers to your research question. When the research question asks “Does the independent variable affect the dependent variable?”, the null hypothesis (H 0) answers “No, there’s no effect in the population.”. On the other hand, the alternative hypothesis (H A) answers “Yes, there ...

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  6. This null hypothesis can be written as: H0: μobese −μaverage = 0 (8.3.1) (8.3.1) H 0: μ o b e s e − μ a v e r a g e = 0. In words, the null hypothesis should be written in the format: There is no difference between the time spent with obese patients and the time spent with average-weight patients. The null hypothesis in a correlational ...

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