Confidence level Type II error


Confidence level determines the sample size and is based on the level of confidence the researcher sets for the study (Spiegel ,1975). This level of confidence determines the statistical likelihood that the researcher will observe the phenomenon if it were true in the sample (Spiegel ,1975). Whereas to null the hypothesis is not necessarily a statement of the theory being false but can be actually an error (Hanneman, Kposowa, & Riddle, 2013). Type II error pertains to a false null in the study that could come from poor research technique (Hanneman, Kposowa, & Riddle, 2013). Type I error is the opposite of the before mentioned its the incorrect rejection of a true null (Hanneman, Kposowa, & Riddle, 2013). Reference Hanneman, R. A., Kposowa, A. J., & Riddle, M. D. (2013). Basic statistics for social research. San Francisco, CA: Jossey-Bass Spiegel , M. (1975 ). Theory and Problems of Probability and Statistics . New York , New York : McGraw-Hill Walker , Ian (2010 ). Research Methods and Statistics . New York , New York : Pal-Grave MacMillan

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