Accidents in Aviation: Experimental Design, Variables Amenable to Statistical Analysis (Statistics Project Sample)
Data analysis project:
You must analyze a data-based research question, the data should comprise several variables amenable to statistical analysis. Exploring a current workplace problem would be extremely beneficial. Potential topics include trend analysis, hypothesis testing, etc. Students will research the topic thoroughly in order to fully explore and analyze the varying perspectives regarding the selected issue. The final project requires students to write a report for decision-makers and other consumers describing their data analysis with graphs included to match your research.
*REVIEW ATTACHMENT "FINAL PROJECT INSTRUCTIONS" FOR DETAILED INSTRUCTIONS*
**I HAVE ATTACHED TWO EXAMPLE ESSAYS AS WELL CALLED EXAMPLE ONE AND TWO TO HELP**
***If needed Book used in course is "Pearson, Robert W. (2010). Statistical Persuasion. Sage: Los Angeles. ISBN: 978-1-4129-7496-7"***
I will need a few graphs and charts as this is a statistic paper. Please use as a sample the attached document (teacher gave us that sample - Final_Project_Example_2.docx and Final_Project_Example_1_001.do )
THANK YOU VERY MUCH FOR YOUR HELP!
Accidents in Aviation
The correlations of pilot’s error or mistake with weather conditions and kind of flight operations have been widely documented. Nonetheless, the association between pilot error and pilot characteristics is not well known or clear. The purpose of the present study is to investigate whether or not the age of the pilot is linked to the patterns, occurrence and frequency of pilot’s error in air-taxi airplane accidents. The source of the dataset includes reports from the National Transportation Safety Board for airplane accidents that involve non-scheduled operations commonly referred to as air taxis in America from the year 1993 until the year 2012. These investigation reports would be reviewed for the purpose of identifying pilot error in addition to other contributing factors. Chi-Square tests are used to analyze circumstances of the airplane crashes and the type of pilot error in relation to age of the pilot.
Research question and hypothesis
Researchers who have studied pilots have reported that age-related declines are mostly restricted to domain-independent cognitive functions for instance psychomotor skills and memory capacity. Li, Baker and Grabowski (2011) noted that domain-independent cognitive functions which relate to flight tasks directly, for instance landing, takeoff, tracking, as well as decision making are in fact less sensitive to effects of aging. Some of the flight-related tasks which are known to decline as the age of the pilot continues to advance include time-sharing efficiency in addition to verbal communication. In comparison to younger pilots, pilots who are much older are inclined to perform worse in implementing fast spoken and long air control commands and in performing multiple tasks under conditions that demand increased attention (Taylor et al., 2010).
At present, it is not very clear whether the traits and occurrence of pilot error differ according to the age of the pilot, although it is possible that at various phases of cognitive ageing, a pilot might actually have different inclination to error and make various sorts of errors (Baker et al., 2010). It is notable that errors that pilots make have been acknowledged as a factor that contributes to 69 percent of commercial aviation plane accidents and 86 percent of general aviation plane accidents. Nonetheless, comparatively little is documented with regard to age-related variations in error made by pilots (Robert, 2010). Therefore, this study seeks to delve into the correlation between pilot error and pilot age in a number of air-taxi aviation accidents believed as being very likely to have been as a result of pilot error.
In this study, the research question is as follows:
What is the association between age of a pilot with the patterns and occurrence of pilot error in air-taxi aviation accidents?
The hypotheses are follows:
H1: there is a relationship between age of a pilot with the patterns and occurrence of pilot error in air-taxi aviation accidents.
H0: there is no relationship between age of a pilot with the patterns and occurrence of pilot error in air-taxi aviation accidents.
Testing hypothesis entails the careful construction of 2 statements: the alternative hypothesis and null hypothesis. The null hypothesis H0 essentially reflects that there would be no observed effect for the experiment. In this study, the null hypothesis is what the researcher attempts to get evidence against in the hypothesis test. The researcher hopes to find a small enough p-value which is lower compared to the level of significance alpha and is justified to reject the null hypothesis. Conversely, if the p-value is found to be greater compared to the alpha, then the null hypothesis would not be rejected (...
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