For this quantitative project I was extremely at a loss at first. For instance, the first set of questions I chose for this project would not work since the answers to the questions were not numerical answers. Since I was confused I contacted the instructor, Mr. Reutz, however I was still confused. Then I decided to take the opportunity to work with a classmate since that option is available. I asked my fellow peer Deanna Hubbard if she would be willing to help me with this project. To begin with this project one must first understand the definition of quantitative variable. The meaning of quantitative variable is providing numerical measures of individuals, and this is interpreted that the values of a quantitative variable can be added or
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This could be the reasoning that when an individual was asked about texting while driving their response was “often” or “never.” This could have been that they may have felt that an honest answer would result in ridicule, or the fear that their personal information would be used. Therefore, they choose to exercise the right of the fifth amendment. This error could also have occurred in the collection of data when the participants were asked if they texted while at work. Although, the three questions could show relationship amongst average text message person and fanatic text message person, and whether or not they choose to bed the rules to text in a compromising environment. For this researcher it is assumed that the data is flawed due to the unwillingness to be forthcoming accurate information, because of the fear of being ridiculed. The confirmation of privacy was also made to all who volunteered their information, yet the participate could have still felt a desire to not be truthful as of fear of repercussions. A second error was the fact that some individuals stated they texted x amount daily, yet the number of texts sent during work was above the number of daily texts reported. For example, one participate answered that they only sent twenty text messages a day, however they send one hundred during work hours. Tried to confirm with individual through …show more content…
The pertinent information for the x-variable are as follows (the data will be to two decimal spaces): the mean 80.52, the median 20, the mode , the range 40, and the standard deviation 135.14.
The scatter plot does not depict a concrete linear at all. It does show that there are a few outliers. The histogram produces the best results clearly showing a shape. The shape the histogram takes is that the collected data from the x-variable is skewed-right. The fact that the data is skewed-right means the mean is substantially larger than the median. The boxplot confirmed that the information was skewed-right. The y-variable is the number of daily text messages a participant sends out during work hours. The pertinent information for the y-variable are as follows (the data will be in two decimal places): the mean 11.86, the median 3, the mode, the range 10, and the standard deviation
This could be the reasoning that when an individual was asked about texting while driving their response was “often” or “never.” This could have been that they may have felt that an honest answer would result in ridicule, or the fear that their personal information would be used. Therefore, they choose to exercise the right of the fifth amendment. This error could also have occurred in the collection of data when the participants were asked if they texted while at work. Although, the three questions could show relationship amongst average text message person and fanatic text message person, and whether or not they choose to bed the rules to text in a compromising environment. For this researcher it is assumed that the data is flawed due to the unwillingness to be forthcoming accurate information, because of the fear of being ridiculed. The confirmation of privacy was also made to all who volunteered their information, yet the participate could have still felt a desire to not be truthful as of fear of repercussions. A second error was the fact that some individuals stated they texted x amount daily, yet the number of texts sent during work was above the number of daily texts reported. For example, one participate answered that they only sent twenty text messages a day, however they send one hundred during work hours. Tried to confirm with individual through …show more content…
The pertinent information for the x-variable are as follows (the data will be to two decimal spaces): the mean 80.52, the median 20, the mode , the range 40, and the standard deviation 135.14.
The scatter plot does not depict a concrete linear at all. It does show that there are a few outliers. The histogram produces the best results clearly showing a shape. The shape the histogram takes is that the collected data from the x-variable is skewed-right. The fact that the data is skewed-right means the mean is substantially larger than the median. The boxplot confirmed that the information was skewed-right. The y-variable is the number of daily text messages a participant sends out during work hours. The pertinent information for the y-variable are as follows (the data will be in two decimal places): the mean 11.86, the median 3, the mode, the range 10, and the standard deviation