Colliform Growth Data Analysis

As students spent some decent amount of time in the experiment, they will come up with some data and the final step for students is to record their data and compare their data with other groups. The following graph chart is based on the data that are provide from four different groups in the class: This diagram shows the coliform growth data from four different groups. According to the data, we can easily calculate that the mean value of coliform growth in Ottawa river is 346.50, the standard deviation is 62.34 and the standard error is 31.17. The mean value, standard deviation, and the standard error for tap water is all zero since there is not coliform growth in the tap water. Furthermore, as it has been mention earlier in the paper, the purpose of this experiment is to educate the students about coliform growth, and for student to getting the general idea about water quality. As the water be one of the most important resource in human’s daily basis, the water quality and what is in the water will be the huge concern for human health. On the other hands, the hypothesis that has been mentioned is about the less coliform growth in tap water and more coliform growth in river water. As the result shows, the statement can be claim that the null hypothesis has been supported. The data shows that there is no coliform growth in the …show more content…
In addition, the hypothesis has been stated before the experiment started, which is there will be more coliform growth in the river water than tap water. As the result shows, there is no coliform growth in the tap water, and many coliform growth in river water. Within that being said, the null hypothesis has been