In Chapter 8 of your text, read the interpretation of confidence intervals. Find a journal article from the library that incorporates repeated sampling. This may be stated or implied. Use the explanation in the last paragraph of the section on interpretation of confidence intervals to describe your data.
After reviewing out text multiple times, I was left clueless as to what exactly “confidence intervals” actually consisted of. I did a little research and came across this definition/explanation from the U.S. Census website that help put things into a little more graspable perspective for myself. Accordingly, the confidence interval is a range of numeric values that describes the uncertainly surrounding an estimate, (U.S. Census, 2013). Confidence intervals are indicated by their endpoints, such as 95% or 90% confidence interval for a particular number of individuals in a sample, representing a level of certainty about an estimate. The confidence intervals contains the average of all estimates a percentage, such as 90% of the time, (U.S. Census, 2013). Ideally, the larger the confidence interval for an estimate, the more caution is required when using the estimate; confidence intervals help define the importance of limitations of estimates, (U.S. Census, 2013).
The study I found pertains to functional asymmetries in the lower-limbs (cited below), which have been at the forefront of many investigations concerning various contact, limited-contact and non-contact sports and their effect on young athletes’ risk for injury. Within the study, samples of young tennis players were randomly divided into an experimental group and control group. Specific tests were used to evaluate functional asymmetries between lower-limbs in strength and speed drill performance. For both groups, the test gave values of P>0.05, which confirmed a normal distribution