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in this problem, we'll quantity the dissimilarity between the COVIO vaccination rates in three different cities in Los Angeles County. To do this, we will use three percentages the percentage of residents aged 12 and up who have received at least one dose of a COVID vaccine, the percentage of residents aged 12 and up who are fully vaccinated, and . the percentage of residents aged 12 and up who have received a booster dose The data as of January 5, 2022 for the cities of Lancaster, Compton, and Mou are shown in the table below (source Inconto San Diego County doesn't appear to have booster rates public just yet.) Percent of Residents Lancaster Compton Malibu Fast Door Puny Vaccinated Boosted 75 69 02 67 02 18 15 31 We define the dissimilarity between two cities as the larpest absolute difference between their respective percentages For example, City A's percentage for First Dose is 3 more than City B's percentage and City As percentage for Futy Vaccinated is less than than City B's percentage and Cty A's percentage for Boosted is less than any es percentage then we would say the dissimtarity between Cry A and Chy B 654since the largest or 3, 2 and 484 Question 5.1. Using this method compute the distanity between Lancaster and Complan Name the result disintety Use a single expression a single line of code) to compute the answer Let Python perform all the arithmetic (like subtracting) rather than simplifying the expression yourself The builtin aba function computers absolute values Indiinility nilarity Question 5.2. Which pair of cities is most dissimilar, according to this measurement? Assign either 1, 2 or 3 to the name ot_ditsisi below 1 Lancaster and Compton 2 Lancaster and Malibu 3. Compton and Malibu 1: not_disminile - 1 1: prader. check 95.2 Question 3. It turns out that it we eliminated a certain one of the three percentages in the table and recalculated dissimilarities based on the remaining two percentages only, we would find the dissimilarity between each pair of cities to be the same as if we had used all three percentages. In other words, one of the three rows of the table ends up not factoring into the calculation for dissimilarity for all three pairs of cities Which percentage can be eliminated without changing the dissimilarity of any pair of cities in the table? Assign either 1, 2 or 3 to the name dimorable below. 1. First Dose 2. Fuly Vaccinated 3. Boosted In 1: disposable In [1: Erader. check (253) in this problem, we'll quantity the dissimilarity between the COVIO vaccination rates in three different cities in Los Angeles County. To do this, we will use three percentages the percentage of residents aged 12 and up who have received at least one dose of a COVID vaccine, the percentage of residents aged 12 and up who are fully vaccinated, and . the percentage of residents aged 12 and up who have received a booster dose The data as of January 5, 2022 for the cities of Lancaster, Compton, and Mou are shown in the table below (source Inconto San Diego County doesn't appear to have booster rates public just yet.) Percent of Residents Lancaster Compton Malibu Fast Door Puny Vaccinated Boosted 75 69 02 67 02 18 15 31 We define the dissimilarity between two cities as the larpest absolute difference between their respective percentages For example, City A's percentage for First Dose is 3 more than City B's percentage and City As percentage for Futy Vaccinated is less than than City B's percentage and Cty A's percentage for Boosted is less than any es percentage then we would say the dissimtarity between Cry A and Chy B 654since the largest or 3, 2 and 484 Question 5.1. Using this method compute the distanity between Lancaster and Complan Name the result disintety Use a single expression a single line of code) to compute the answer Let Python perform all the arithmetic (like subtracting) rather than simplifying the expression yourself The builtin aba function computers absolute values Indiinility nilarity Question 5.2. Which pair of cities is most dissimilar, according to this measurement? Assign either 1, 2 or 3 to the name ot_ditsisi below 1 Lancaster and Compton 2 Lancaster and Malibu 3. Compton and Malibu 1: not_disminile - 1 1: prader. check 95.2 Question 3. It turns out that it we eliminated a certain one of the three percentages in the table and recalculated dissimilarities based on the remaining two percentages only, we would find the dissimilarity between each pair of cities to be the same as if we had used all three percentages. In other words, one of the three rows of the table ends up not factoring into the calculation for dissimilarity for all three pairs of cities Which percentage can be eliminated without changing the dissimilarity of any pair of cities in the table? Assign either 1, 2 or 3 to the name dimorable below. 1. First Dose 2. Fuly Vaccinated 3. Boosted In 1: disposable In [1: Erader. check (253)