The statistical procedures introduced in this course depend on the assumption of normality. Sometimes, if the data are not well approximated by a normal distribution, we apply a transformation of the data. In this computer assignment, you will need to apply the log transformation (natural log, or "ln", which is called "log" in R), to make the data more normally distributed. Interpretation of the problem is more difficult when you transform the data. In addition, it is extremely hard to determine practicality with transformed data. Therefore, only transform the data when it is absolutely necessary. You must determine which question it is appropriate for. You can ask your instructor or TA for more information.

Is Temperature (temp) and "feels like" temperature (atemp) related?

An environmental professor studying temperature relationships wants to know whether the average "feels like" temperature is at least 3 degrees Celsius (5.4 degrees Fahrenheit) greater than the average temperature in summer. A difference of 1 C is 1.8 = 9/5 F.

Make a histogram, boxplot, and a Normal probability plot using these data. Please upload the graphs below. If you need to transform the data because you do not believe that the data are normally distributed, please upload those graphs below also.

I don't understand what code in R I should be using to create the graphs and to make sure that I'm only graphing the "temp" and "atemp" variables for the summer season (rather than all four of the seasons that the data set contains).