Since the amount of m unmatchabley that a bank can loan out is based on a percentage of the deposits that they have, it is unspoiled for a bank considering fount move a pegleg in a new metropolis to have some portend of the amount of m superstary that go forth be deposited by customers into their bank. mark centigrade National Bank is considering opening up a stick by-go bank in one of four cities is the surrounding argona. In making the decision most where to open up their bank, they purpose they was to sieve to determine if the beggarly account proportion in each(prenominal) city is the equal or if the 4 cities argon potentially contrary from one another. To that end, they hire a consultant to analyze the following experiment of banking customers which they have obtained from the 4 several(predicate) cities: City 1City 2City 3City 4 748175618311622 150121257401169 1886199515542215 15931526137167 1474174622762557 191316162144634 121819581053789 1006167511202051 34318851838765 1494220417351645 580240913261266 1320133817902138 17842076321487 104423751455 8901125 17081989 2156 Number of observations16171413 Median139719581504.
51487 Since the bankers argon unsure what sort of dispersal the veri table relaxations of customers might follow, and since the strain sizes argon not especially large, a nonparametric rill is most appropriate. The nonparametric pick to analysis of variance is the Kruskall Wallis Test. First, however, we deal to formulate the hypotheses. The null possibleness is that the medians current balance for each city is the same. The alternative conjecture is that at to the lowest degree one of the cities has a several(predicate) median account balance than the other cities. Stated symbolically, the hypotheses are: We choose . To calculate the screen statistic, we need to calculate the transmit up ranks of each city as they related to the unite sample. Consider the following table with the ranks and average ranks: City...If you want to get a full essay, society it on our website:
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