This algorithm creates a string from the message in which every vowel (a, e, i, o, and u) is removed unless the vowel is at the very start of a word (i. e., it is preceded by a space or is the first letter of the message). Every repeated non-vowel character is also removed from the new string (i. e., if a character appears several times in a row it should only appear once at that location). So for example the string "I will arrive in Mississippi really soon" becomes "i wl arv in mssp rly sn". I'm garbage at coding plz help

After applying this algorithm, your program should output the shortened message, the number of vowels removed, the number of repeated non-vowel characters removed, and how much shorter the shortened message is than the original message. The exact format in which the program should print this information is shown in the sample runs.

Explain the circumstances for which the interquartile range is the preferred measure of dispersion. what is an advantage that the standard deviation has over the interquartile range? choose the correct answer below. a. the interquartile range is preferred when the distribution is symmetric. an advantage of the standard deviation is that it increases as the dispersion of the data increases. b. the interquartile range is preferred when the data are not skewed or no have outliers. an advantage of the standard deviation is that it uses all the observations in its computation. c. the interquartile range is preferred when the distribution is symmetric. an advantage of the standard deviation is that it is resistant to extreme values. d. the interquartile range is preferred when the data are bell shaped. an advantage of the standard deviation is that it is resistant to extreme values. e. the interquartile range is preferred when the data are skewed or have outliers. an advantage of the standard deviation is that it uses all the observations in its computation. f. the interquartile range is preferred when the data are bell shaped. an advantage of the standard deviation is that it increases as the dispersion of the data increases.