Question:

Note: can you please break down (Access personal information) the user story (epic) below into new epics along with acceptance criteria, something where you estimate or feel, analyze, design, construction, and testing (including UAT)

you need to break down the epic below into new epics with acceptance criteria as well.

Epic: Access Personal Information

As a student,

I want to access my personal information.

so that I can ensure that it is correct so that BCIT has my information correct for my credentials.

Acceptance criteria:-

Student accesses the system through a secure access mechanism.

Students can see all personal information on record.

Students can make changes to any of the personal information fields.

Students must verify all changes.

The student will receive a notification of all changes on the screen and by email.

1.76. Consider a branching process as defined in Example 1.8, in which each family has exactly three children, but invert Galton and Watson's original mo- tivation and ignore male children. In this model a mother will have an average of 1.5 daughters. Compute the probability that a given woman's descendents will die out. Example 1.8. Branching processes. These processes arose from Francis Galton's statistical investigation of the extinction of family names. Consider a population in which each individual in the nth generation independently gives birth, producing k children (who are members of generation n + 1) with proba- bility px. In Galton's application only male children count since only they carry on the family name. To define the Markov chain, note that the number of individuals in genera- tion n, X,, can be any nonnegative integer, so the state space is {0, 1, 2, .. . ). If we let Y1, Y2. .. . be independent random variables with P(Ym = k) = p, then we can write the transition probability as p(i, j) = P(Yi + . . . + Mi=j) for i > 0 and j 2 0 When there are no living members of the population, no new ones can be born, so p(0, 0) = 1. Galton's question, originally posed in the Educational Times of 1873, is Q. What is the probability that the line of a man becomes extinct?, i.e., the branching process becomes absorbed at 0? Reverend Henry William Watson replied with a solution. Together, they then wrote an 1874 paper entitled On the probability of extinction of families. For this reason, these chains are often called Galton-Watson processes.QUESTION 9 10 points Save Answer We first understood the exact process that underlies genetic transmission when James Watson and Francis O Crick discovered the secrets of genetic structure and function. Ivan Pavlov described the O principles of classical Questiconditioningn Status: Gregor Mendel published a paper on the transmission of genetic information from generation to generation. Francis Galton expanded O upon Darwin's theory of evolution.Consider the following slope estimator: b = 1 yi N Suppose the true model is yi + So + Bir; + e; and the model satisfies the Gauss-Markov conditions. Answer the following questions: (a) What assumption in addition to the Gauss-Markov assumptions is required to estimate the model? (b) Show that in general, b is a biased estimator of 81. (c) Outline the special condition(s) under which b is an unbiased estimator of 31.Time sequences: Generate a sequence of 1000 equally spaced samples of a Gauss- Markov process using the recursive relation: Xn = ax- + Wnin = 1,2, ..., 1000. Here assume that Xo = 0, and {w,} is a sequence of independent identically distributed Gaussian random variables. You can use the randn function in MATLAB to generate zero-mean, unit-variance random variables. Below is given a low-pass filter (a>0) excited by a white noise sequence, and the filter has a real pole at z- a. Plot the output waveform for the following values of a: a= 0.5, a = 0.95, a = 0.995. Comment on the effect of the selection of a on the resulting time sequence