Whatt is the long hand solution for You select a sample of n =36 participants and aask them to walk every day for at least 30 minutes. At the end of a month you give them the well-being scale and find M = 72. If you use a two-tailed test with alpha level equal to 0.05 to determine the impactof taking a daily walk on well-being, what is the probability that you have made a Type I error? How can you reduce the probability of making a Type I error?
Whatt is the long hand solution for You select a sample of n =36 participants and aask them to walk every day for at least 30 minutes. At the end of a month you give them the well-being scale and find M = 72. If you use a two-tailed test with alpha level equal to 0.05 to determine the impactof taking a daily walk on well-being, what is the
In hypothesis testing, the Type I error is known as the probability of rejecting the null hypothesis when it is true. It is represented by α. In this case, the probability of type I error is 0.05 as the alpha level is equal to 0.05.
Hence, the probability that you have made a Type I error is 0.05.
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