Descriptive Statistics - Case Study Example

Descriptive Statistics Analysis of Article The descriptive statistics in this study was cross-sectional given that it entailed the listing of responsive items for the study and interviewing of the respondents. The study employed the use of means and percentages to outline its outcomes. For instance, averagely, the study notes that approximately 100 children are being killed as cyclists in the US. Subsequently, the study uses measures of spread such as standard deviation in the analysis of the results by the use of aspects such as out if the 113,476 telephone numbers of respondents sampled, 59% were ineligible, 28% had their eligibility unknown and only 13% were eligible.

To this extent, there is not aspect of descriptive statistics that is missing since both measures of central tendency and spread are used in the study (Dellinger & Kresnow, 2010).The minorities who are included in the study are defined by their age. The study accommodated views of minors up to a minimal age of 5 years. This was based on the realization that a child of age 5 would be informed on how to wear and use a helmet when cycling. The demographic data to this effect is available in the study given that an estimated 1,725 (75%) of the children had ridden on a bicycle.

Descriptive statistics is essential in this study as it allows for the summary of the data using techniques such as tables and graphical representations; thus, allowing for easy statistical commentary (Dellinger & Kresnow, 2010).The inferential statistics of the study are test of hypotheses in which the study’s hypothesis was that bicycle-related injuries among children between 5-14 years can be condensed by the usage of helmets. Subsequently, the study uses sample statistics as an inferential test to sample out a representative number of respondents for the study.

This is done through the estimation of the parameters of the study. Standard t-tests are also used to examine the differences in behavior of children in wearing helmets.The p-values identified in the study are correspondent to the objectives of the study. At p