Video centers of europe, ltd., is a chain of movie DVD rental stores. it must maintain data on the dvds if has for rent, the movies recorded on the DVDs, its customers, and the actual rental. each dvd for rent has a unique serial number. movie titles and customer numbers are also unique identifiers. assume that each movie has exactly one "star." note the difference in the year that the movie was originally filmed and the date that a dvd an actual disk was manufactured. some of the attributes and functional dependencies in this environment are as follows:

attributes:

dvd numbers, manufacture date, movie title, star, year filmed, length (min), customer numbers, customer name, customer address, rent date, return date, fee paid

functional dependencies:

dvd number>>>>movie title

dvd number>>>>star

dvd number>>>>manufacture date

movie title>>>>star

movie title>>>>length

movie title>>>>year filmed

customer number>>>>customer name

customer number>>>>customer address

dvd number, customer number

rental date>>>>return date, fee paid

for each of the following tables, first write the table's current normal form (as 1nf,2nf,3nf). then, take those tables that are currently in 1nf or 2nf and reconstruct them as well structured 3nf tables. primary key attributes are in bold. do not assume any functional dependencies other than those shown.

a)movie title, star, length, year filmed

b)dvd number, customer number, rental date, customer name, return date, fee paid

c)dvd number, manufacture fate, movie title, star

d)movie title, customer number, star, length, customer name, customer address

e)dvd number, customer number, rental date, return date, fee paid

1. package newton’s method for approximating square roots (case study 3.6) in a function named newton. this function expects the input number as an argument and returns the estimate of its square root. the script should also include a main function that allows the user to compute square roots of inputs until she presses the enter/return key. 2. convert newton’s method for approximating square roots in project 1 to a recursive function named newton. (hint: the estimate of the square root should be passed as a second argument to the function.) 3. elena complains that the recursive newton function in project 2 includes an extra argument for the estimate. the function’s users should not have to provide this value, which is always the same, when they call this function. modify the definition of the function so that it uses a keyword parameter with the appropriate default value for this argument, and call the function without a second argument to demonstrate that it solves this problem. 4. restructure newton’s method (case study 3.6) by decomposing it into three cooperating functions. the newton function can use either the recursive strategy of project 1 or the iterative strategy of case study 3.6. the task of testing for the limit is assigned to a function named limitreached, whereas the task of computing a new approximation is assigned to a function named improveestimate. each function expects the relevant arguments and returns an appropriate value. 5. a list is sorted in ascending order if it is empty or each item except the last one is less than or equal to its successor. define a predicate issorted that expects a list as an argument and returns true if the list is sorted, or returns false otherwise. (hint: for a list of length 2 or greater, loop through the list and compare pairs of items, from left to right, and return false if the first item in a pair is greater.)

When is a chart legend used a. all the time b. whenever you are comparing data that is the same c. whenever you are comparing multiple sets of data d. only for hand-drawn charts

What provides an array of buttons for quick access to commonly used commands and tools