Hypothesis Test

Hypothesis Testing and Nursing Hypothesis testing is a method of making decisions using data from scientific study. In statistics, a result is called statistically significant if it has been predicted as unlikely to have occurred by chance alone, according to pre-determined threshold probability, the significance level. Statistical hypothesis tests define a procedure that controls (fixes) the probability of incorrectly deciding that a default position (null hypothesis) is incorrect based on how likely it would be for a set of observations to occur if the null hypothesis were true. The null hypothesis, H0, is a statistical proposition stating that there is no significant difference between a hypothesized value of a population parameter and its value estimated from a sample drawn from that population. Hypothesis testing is very counteractive for nurses and their research. A perfect example for hypothesis test is testing whether or not men or women have the most nightmares. In the nursing world, they complete hypothesis tests to test theories. In nursing, just like in statistics, hypothesis testing researchers use the method for a test sample. For example they if they wanted to see what nurse did better on the floor, an emergency room head nurse could do a hypothesis test to establish probable test values for different nurses. I my research I found that nurses have various methods to use hypothesis testing for. Hypothesis testing strengthens the quality of the quantitative studies, increases the generality of findings and provides dependable knowledge. This is particularly true for quantitative studies that aim to explore, explain and predict/control phenomena and/or test theories. The findings also have implications for doctoral programmes, research preparation of nurse-investigators, and theory testing.

With me doing my research on what exactly nurses do with hypothesis testing, I found that it’s not too strenuous. I can handle the pressures of doing