Using box and whisker plot, what do we get? * a) Interquartile Range (IQR) and the outliers   b) Mean, median, and mode   c) Variance   d) The range of the data

using R please show the code needed for each step   1) Initial data overview a. Load the faithful dataset in R b. What are the column headers for this data set? c. How many rows of data are in the data set? 2) Summary stats for the full data set a. Compute all of the following for the duration of the eruptions and the waiting time between the eruptions i. mean ii. population variance iii. population standard deviation iv. population coefficient of variation 3)Sampling a. Create a new data frame that contains 100 samples of size 10 from the eruption duration column of the faithful data set i. You can use the sample() function to create your samples of size 10 ii. You can use the replicate() function to repeat the sampling 100 times iii. You can cast the result as a data frame using data.frame() 4) Analyze the Samples a. Create 3 new empty vectors – these will store the sample mean, sample variance, and sample standard deviation of each of your 100 samples b. For each…

The Frequentist approach looks at   Question 17 options:   the long-term relative frequency of events occurring   both single events occurring and the long-term relative frequency of events occurring   a single event occurring    neither single events occurring nor the long-term relative frequency of events occurring For data that is approximately normally distributed, any observation more than 1 standard deviation away from the mean is an outlier.   Question 26 options:   True   False

How do you construct a good and bad match table with Boyer Moore?   What do the tables mean and can you please provide an example.