Apply the apriori algorithm to the following data set. Trans_id Items_purchased milk, bread, eggs 101 milk, juice juice, butter milk, bread, eggs coffee, eggs coffee 102 103 104 105 106 107 108 109 110 coffee, juice milk, bread, cookies, eggs cookies, butter milk, bread The set of items is (milk, bread, cookies, eggs, butter, coffee, juice). Use 0.2 for the minimum support value.

Assign letter grades O solutions submitted (max: 1) In the attached spreadsheet, you are given homework grades of 25 students. Sheet 1 (hw1) stores the first homework grades, Sheet 2 (hw2) is the second homework grades and so on. Use either xlsread() or readmatrix() to import the given data into Matlab. Once you have the data in Matlab; 1- Create separate arrays for each homework, name them as hw1, hw2, hw3, hw4, hw5 2- Create an average grade array named hwAvg. Store the average homework grade in hwAvg using the below weights Homework 1, 2: each 15% Homework 3, 4 : 20% Homework 5: 30% 3- Create an array named letterGrade to store letter grades, this will be an array of strings. • 4- Preallocate the letterGrade array. Make sure it has the same length as hwAvg array. 5- Assign letter grades from hwAvg array using the grading policy shown below 100 - 90 : A <90 - 80 : B <80 - 70:C <70 - 60 : D <60 :F It is recommended that you download the file, see what it looks like, figure the steps…

Please answer them in R thank you.

B. Please complete the following question. Make sure you are responding to all parts of the question and show all your work. As a tip let the marks assigned be a guide as to how much information is required to respond.   The attached datafile awards_data.csv contains two variables: the type of program [prog] in which the student was enrolled (i.e., general, academic, or vocational) and the score on their final exam in math [math]. Use α = .05 for all analyses. 1. Use the information about the variables to develop a research question for a one-way ANOVA and conduct the analysis.  Are the assumptions met? Please include the appropriate statistics or information to support your answer. What do you conclude? Present your answer in APA.

The Python code for step 7 is needed. Step 6 has been attached for data reference

In python don't import libraries

What's wrong with this cell?

Exercise 2.3. What is wrong with this procedure, which is supposed to return True if the element x occurs in the list items, and False otherwise? def member (x, items): for i in items: if x == 1: return True else: return False

89. Using OQL, you may do which of the following? a. Return an entire collection of elements including duplicates. b. Return a collection of elements without duplicates. c. Return a specific subset of elements using a given criteria. d. All of the above.

Your favorite soccer player is playing in the world cup and the match has ended in a tie. As the teams get ready for the penalty shootout, you know your favorite player will be last to shoot. A quick search tells you that your favorite player makes a goal when kicking from the penalty mark 0.76% of the time. You also know that the player before your favorite player makes a kick from the penalty mark 0.70% of the time. You also know that neither player is impacted by kicks before they take the shot. What is the probability that both players miss their kicks? Report your answer to the second decimal point, that is, 0.45 instead of 0.5.