This research investigated the association or the relationship between some factors, namely (1) type of cars, (2) age and (3) gender of the car drivers and car accidents. More specifically, the researcher wanted to find out if these three independent factors had an impact on car accidents. He hypothesized that "car accidents do not increase or decrease as a result of the age of the drivers, gender of the driver and type of The sample of this research consisted of 2000 car drivers of different gender, ages and types of car". cars. The researcher designed a questionnaire to collect the primary data required. The questionnaire was very short. It elicited some demographic data from the respondents such as their gender, their age, and the type of car they used. The questionnaire also elicited from the participants if they had had accidents, the number of accidents they had and at what age they had these accidents. data for this research was records of accidents from the Department of Accidents in the Royal Oman Police. The researcher analyzed these records to find out the gender of those drivers who had accidents, their age and the types of cars they were driving. The other source of primary The researcher used Correlation in SPSS to measure the association or the relationship between these three factors and car accidents. Analyses revealed that the age of the driver had the strongest positive association with car accidents (Correlation coefficient, 0.87) indicating that younger drivers committed car accidents more than elder drivers. Gender had the second strongest association with car accidents (Correlation coefficient 0.79) showing that female drivers tend to commit car accidents more than male drivers. However, type of car had very weak association or relationship with car accidents (correlation coefficients 0.15). This means that accidents may happen to any car regardless of its type. 1 The aim of the study The independent variables that the research wanted to test 3 The dependent variable(s)
This research investigated the association or the relationship between some factors, namely (1) type of cars, (2) age and (3) gender of the car drivers and car accidents. More specifically, the researcher wanted to find out if these three independent factors had an impact on car accidents. He hypothesized that "car accidents do not increase or decrease as a result of the age of the drivers, gender of the driver and type of The sample of this research consisted of 2000 car drivers of different gender, ages and types of car". cars. The researcher designed a questionnaire to collect the primary data required. The questionnaire was very short. It elicited some demographic data from the respondents such as their gender, their age, and the type of car they used. The questionnaire also elicited from the participants if they had had accidents, the number of accidents they had and at what age they had these accidents. data for this research was records of accidents from the Department of Accidents in the Royal Oman Police. The researcher analyzed these records to find out the gender of those drivers who had accidents, their age and the types of cars they were driving. The other source of primary The researcher used Correlation in SPSS to measure the association or the relationship between these three factors and car accidents. Analyses revealed that the age of the driver had the strongest positive association with car accidents (Correlation coefficient, 0.87) indicating that younger drivers committed car accidents more than elder drivers. Gender had the second strongest association with car accidents (Correlation coefficient 0.79) showing that female drivers tend to commit car accidents more than male drivers. However, type of car had very weak association or relationship with car accidents (correlation coefficients 0.15). This means that accidents may happen to any car regardless of its type. 1 The aim of the study The independent variables that the research wanted to test 3 The dependent variable(s)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Read the following text that describes an analytical study and complete the table below it:
This research investigated the association or the relationship between some factors, namely (1) type of
cars, (2) age and (3) gender of the car drivers and car accidents. More specifically, the researcher wanted
to find out if these three independent factors had an impact on car accidents. He hypothesized that "car
accidents do not increase or decrease as a result of the age of the drivers, gender of the driver and type of
car".
The sample of this research consisted of 2000 car drivers of different gender, ages and types of
cars.
The researcher designed a questionnaire to collect the primary data required. The questionnaire was very
short. It elicited some demographic data from the respondents such as their gender, their age, and the type
of car they used. The questionnaire also elicited from the participants if they had had accidents, the
number of accidents they had and at what age they had these accidents.
data for this research was records of accidents from the Department of Accidents in the Royal Oman
Police. The researcher analyzed these records to find out the gender of those drivers who had accidents,
their age and the types of cars they were driving.
The other source of primary
The researcher used Correlation in SPSS to measure the association or the relationship between these
three factors and car accidents.
Analyses revealed that the age of the driver had the strongest positive association with car accidents
(Correlation coefficient, 0.87) indicating that younger drivers committed car accidents more than elder
drivers. Gender had the second strongest association with car accidents (Correlation coefficient 0.79)
showing that female drivers tend to commit car accidents more than male drivers. However, type of car
had very weak association or relationship with car accidents (correlation coefficients 0.15). This means
that accidents may happen to any car regardless of its type.
1
The aim of the study
The independent variables that the
research wanted to test
2
The dependent variable(s)
The two sources of primary data used to
collect required data
The statistical test used to measure the
3
4
relationship between dependent and
independent variables
The factor/variable that had the strongest
6.
association with car accidents
7
The factor/ variable that had the weakest
association with car accidents
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