This hypothesis testing is trying to determine if there is a difference in variance in Price between Napa and Sonoma. In other words is the price spread different based on the region.
Step 1 Define my Hypothesis
Ho: There is no difference in the Price spread between Napa and Sonoma
H1: There is a difference in the Price spread between Napa and Sonoma
Step 2: Run the HOV test (Homogeneity of Variance)
This hypothesis testing is to try to understand if there is correlation between the average scores given by wine spectator and the average prices for wineries in Napa.
Step 1 Define my Hypothesis
Ho: There is no correlation between WS Score and Price for Napa Wines
H1: there is a correlation between WS Score and price for Napa wines
Step 2 run the regression Analysis
This hypothesis testing is to try to understand if there is correlation between the average scores given by wine spectator and the average prices for wineries in Sonoma.
Step 1: Define the Hypothesis
Ho: There is no correlation between WS score and Price for Sonoma wines
H1: there is a correlation between WS score and price for Sonoma wines
Step 2 run the regression Analysis
Last week I attended a statistics class I wanted to apply some of the concepts to a real life example.
After looking for a data set I remembered a spreadsheet a friend sent me before visiting Napa/Sonoma. the spreadsheet included Wine Spectator's Scores and cost of the wines.
The next series of article will be looking at the data in a statistical approach. We will be looking at the correlation of Score v. Price and Price between regions, etc. Below is the list of wineries that will included in the study.