I've always loved ice cream, but recently I discovered during a vacation in Hawaii that I also enjoy surfing the waves! Is there some way to combine both and create a path back to Hawaii? Well, I believe I have come up with a fool-proof plan to combine ice cream and surfing that will take me back to Hawii forever: a surf and shake shop serving surfboards and ice cream to locals, tourists, and of course, me! I've got savings I'm going to invest, but I'll need and investor to get my dream going. After putting together a strong business plan I've reached out to an investor, W. Avey, who is famous for his love of surfing. He is interested in my proposal, but has concerns about weather being a factor in the success of my business plan because his previous surf shop was rained out of existance. W. Avey knows of my expertise in analyzing data and has requested I analyze data he has from the the island of Oahu, the island I want to start my new business on in the future. I'll be using the data he has provided to take an analytical look at the weather conditions, especially the precipitation and temperatures of Oahu, in order to provide a solid case for my business plan. If sucessful, there is always the potential for duplicating this business plan in other locations, so preserving the analysis process is important for future growth opportunities.

In this project I'll be analyzing temperature samples for the past 12 months to show W. Avey that my choice of Oahu is perfect for a surf and shake business venture. W. Avey doesn't just want to see a list of data; he wants to understand trends in the data. To put W. Avey at ease, I'm going to create a plot of precipitation scores in chronological order. Rather than simply showing him whether it rained on a given day, I'll show him how much it rained and if it was raining on the previous or subsequent days as well. All of this information will be very hepful to W. Avey when he presents my plan at his quarterly board meeting. I'll provide solid statistical analysis—such as the mean, standard deviation, minimum, and maximum scores of precipitation and temperature. He needs hard results if he's going to invest his money. Finally, I'll provide W. Avey with temperature trends for the months of June and December to help him and his board see that the surf and ice cream business are sustainable year-round.

1.) The data on minimum temperatures for both months (June = 64, December = 56) suggest there are years when the minimum temperature in December is significantly lower than the average temperature.

2.) The variance in minimum temperatures is significant (June min = 64, December min = 56). As well, the variance in maximum to minimum temperatures in December is larger than in June. December max is 83, December min is 56; creating a 27 degree difference. June max is 85, June min is 64; creating a 21 degree difference. The data suggests that daily temperatures in June are more similar, less variance, than in December.

3.) There are more than 10 percent more data scores available for June than December. Would more temperature counts from December change the results? Perhaps looking at more weather variables would be of benefit (ie., cloud coverage, precipitation, weather events). Sample counts for June = 1700, December = 1517.

The data suggests the choice of Oahu is a solid choice based on weather conditions because the pemperatures are usually perfect for surfing and shakes. Temperatures are well within surfing ranges and even in December it is still not too cool for ice cream, in my opinion, but every day is a good day for ice cream. Further analysis of the weather to include precipitation counts for June and December reinforces the choice of Oahu. The data suggests that rain counts during June and December are not excessive. There are rainy days, but the averages are accceptable (June average = .13 inches, December = .21 inches). From the results of this analysis I believe the Oahu choice, based on weather, is worth the investment. There are no trends in weather that suggest Oahu's location will be a deterent to profitability.

this ends my analysis PEM