R language -- 2

1.Summarize the dataset. Explain how you can use the summary statistic to detect an
outlier. Is there any outlier in the dataset?
2. Support your answer in 1 by plotting a boxplot. Describe your boxplot on how it can
support your answer in 1.
3. Explain how you can determine the skewness of the data from the summary statistics.
4. Support your answer in 3 by plotting a histogram. Describe your histogram on how it
can support your answer in 3.
5. Plot a suitable graph to test the normality of the data. Explain the result that you get.
6. Null hypothesis, h0: The value of y is equal to 340 (mu=340).
Alternative hypothesis, h1: The value of y is different from 340 (mu≠ 340).
Run a suitable test for the dataset and based on the p-value, make a conclusion.