The following data is taken from the UCI machine learning data repository, (https://archive.ics.uci_eduiml/datasets/Forest+Fires). It lists values of a few meteorological variables during forest fires. The table is only a part and the last 140 instances of the dataset -use only the values provided in the table and do not bring in additional instances from the website to answer the questions below.

1. Test for normality of the variables Temperature, Relative humidity and Wind separately using normal probability plot.
2. Construct a 95% confidence interval for each of the variables in part (a).
3. Test the hypothesis that more areas in the forest burn when the temperature is above 25 ^o C than when it is below 25°C. Use 1% level of significance.

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Solution: The downloadable solution consists of 7 pages, 669 words and 3 charts.
Deliverable: Word Document