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Data Collection SLP 1 - Introduction to Probability
Added on -2019-09-20
This article discusses the collection of data on the time it takes to arrive at work every day, the dependent and independent variables, and the probability of arriving on time. It also includes a table showing the number of days, time in, launch break, time out, and total minutes worked.
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Data Collection SLP 1 2Data Collection Project The activity that I have considered for the collection of the data for this assessment is the time it takes me to arrive to my work every day. I decided to collect data on this topic because I spend lot of time on the road going to and from work. There are two types of variable that I am likely to encounter every day, namely, dependent variable and independent variable. The dependent variable in my case is the time. I have considered the time as the dependent variable as there are likely to be multiple factors that will impact my commuting from my home to work. We know that dependent variable is something that we measure in experiment and what is also affected during the time of the variable. Dependent variable depends on the independent variable. A dependent variable cannot exist without an independent variable. The time it will take me to arrive to work will depend on many factors. The time I started counting on begins from the moment I leave my house and steps into car. After that, whatever time I spend is to be counted as the time consumed in reaching the destination. There are various independent factors that are impacting the amount of time I spend when I commute such as the traffic, construction, someone known I met on the way, and other things. Every day I am supposed to be to work at 7:30 am. Taken into account the dependent and independent variables, I am sometimes late getting to work. We also know that independent variable stands alone. Prior to the collection of the data, I developed a hypothesis that the data collect wouldform the bell curve. The reason behind that will be my early arrival on someday due to no traffic and roadblocks at all, and someday I may arrive very late due to number of hurdles. However, it was found that the data collected for the ten days has not formed the proper bell curve. It shows right skewed. The reason was that I spent longer duration on road for seven days from total ten days measured. The reason was that the construction was going on the
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