<prompt> Theha Chain ea Markov ho etsisa kamoo motho a ka fihlang ka mora nako mosebetsing.nan  <response>: Instruction in English: Create a Markov Chain to simulate how a person would arrive late to work. . Response in English: Here is an example of a Markov Chain that simulates how a person might arrive late to work:Assuming that each state in the chain represents an event that can potentially cause the person to be late to work, we can define the following states:- State 1: Wake up late.- State 2: Delay in the bathroom.- State 3: Slow breakfast.- State 4: Forgot something and need to go back home.- State 5: Traffic jam.- State 6: Missed the bustrain.- State 7: Arrived late to work.The Markov chains matrix would be something like this: State 1 State 2 State 3 State 4 State 5 State 6 State 7 --- --- --- --- --- --- --- 0 0.4 0.4 0.1 0.1 0 0 0 0 0.5 0 0 0.2 0.3 0 0 0 0.3 0.4 0.3 0 0 0 0 0 0.5 0 0.5 0 0 0 0 0 0.8 0.2 0 0 0 0 0 0 1 0 0 0 0 0 0 1 This matrix represents the probabilities of the person transitioning from one state to the next. For example, if they wake up late State 1, there is a 40 chance that they will have a delay in the bathroom State 2, a 40 chance that they will have a slow breakfast State 3, a 10 chance that they will forget something and need to . Response in Sesotho: Mohlala ke ona oa ketane ea Markov e etsisang kamoo motho a ka fihlang ka mora nako mosebetsing: Ka ho nka hore naha ka ngoe ka ketane e emela ketsahalo e ka nang ea etsa hore motho a liehe ho sebetsa, re ka hlalosa lintlha tse latelang: - Naha ea 1: Tsoha ka morao ho nako. - Seemo sa 2: Ho lieha ka kamoreng ea ho hlapela. - Naheng ea 3: Lijo tsa hoseng tse liehang. - Naheng ea 4: U lebetse ho hong me u hloka ho khutlela hae. - Seemo sa 5: Tlhōrō ea sephethephethe. - Naheng ea 6: Ke hlolohetsoe beseterene. - Naheng ea 7: O fihlile morao mosebetsing. Matrix ea ketane ea Markov e ka ba ntho e kang ena: Naha 1 Naha 2 Naha 3 Naha 4 Naha 5 Naha 6 Naha 7 --- --- --- --- --- --- --- 0 0.4 0.4 0.1 0.1 0 0 0 0 0.5 0 0 0.2 0.3 0 0 0 0.3 0.4 0.3 0 0 0 0 0 0.5 0 0.5 0 0 0 0 0 0.8 0.2 0 0 0 0 0 0 1 0 0 0 0 0 0 1 Matrix ena e emela menyetla ea hore motho a fetohe ho tloha sebakeng se seng ho ea ho se seng. Ka mohlala, haeba ba tsoha ka mora nako Naheng ea 1, ho na le monyetla oa 40 oa hore ba be le tieho ka kamoreng ea ho hlapela Naheng ea 2, monyetla oa 40 oa hore ba fumane lijo tsa hoseng tse liehang Naheng ea 3, 10 monyetla oa hore ba tla lebala ho hong mme ba hloka ho 