We never prove the null or the research hypothesis

Some Basic Null Hypothesis Tests | Research Methods …

What is the most effective research design to test my hypothesis

Example Problem: A researcher thinks that if knee surgery patients go to physical therapy twice a week (instead of 3 times), their recovery period will be longer. recovery times for knee surgery patients is 8.2 weeks.

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.”

How to convert research questions into hypotheses and null hypotheses

Null and Alternative Hypothesis | Real Statistics Using …

The null hypothesis, H0 is the commonly accepted fact; it is the opposite of the . Researchers work to reject, nullify or disprove the null hypothesis. Researchers come up with an alternate hypothesis, one that they think explains a phenomenon, and then work to .

Null Hypothesis Overview The null hypothesis, H 0 is the commonly accepted fact; it is the opposite of the alternate hypothesis. Researchers work to reject, nullify or disprove the null hypothesis. Researchers come up with an alternate hypothesis…

ABSTRACT
The Pasquotank watershed of North Carolina is a large region with many areas of robust vegetation and wildlife. Remotely sensed data gathered by Landsat 7 provides spectral data that can tell us about type and relative density of vegetation in an area. In this study we attempt to quantify the relationship between deciduous canopy cover and NDVI values gathered in Landsat. This proposed relationship could be a valuable tool in helping track forest density changes year to year along with providing researchers and other interested parties in the region with a way to quantify tree coverage of a local region using only remotely sensed spectral intensity values. By gathering and analyzing canopy cover data and regressing these numbers with NDVI values, we were able to account for 84% of the variation in Canopy Cover using NDVI (P) ()

Describes how to test the null hypothesis that some estimate is due to chance vs the alternative hypothesis that there is some statistically significant effect.