Using the data below Year Flow develop a histogram a prob

Using the data below ( Year & Flow ), develop a histogram; a probability plot, and use chi-square goodness-of-fit test against normal distribution. Based on the analysis, state your conclustion.

Please provide a detailed response, it will be vary helpful. If you are using a software to plot. please provide a title of the software and any commands used to reach your answer. Again , the more detail the easyier it will be for me to understand your answer and check your work . Thank you ! : -^)

Year

1895

Flow (Cfs)

47300

Solution

Using R-software

Flow=c(47300,54400,87200,65700,91500,53500,67800,70000,66900,34700,58000,47000,66300,80900
,80000,52300,58000,67200,115000,46100,52400,94300,111000,71700,96100,92500,34100,69000,73400
,99100,79200,62600,93700,68700,80100,32300,43100,77000,53600,70800,89400,62600,112000,44000
,84300,45000,28400,46000,80400,55000,72900,71200,46800,84100,61300,87100,70500,77700,44200,
20600,85000,82900,88700,60200,40300,50500,48800,101000,63800,82500,60300,38900,69900,55200,
29400,68400,51700,107000,58600,77900,79600,46300,53400,61800,144000,40600,49600,42900,68800,
98400,36500,42100,35100,105000,53600,82900,54600,52100,71000)
hist(Flow, main=\"Histogram of Flow (Cfs)\")

Using Excel

So, we reject the hypothesis.