Task 4 The following data represents the bacterial growth on a piece of chicken left out on the kitchen bench by your room-mate. t (minutes) b (bacteria) 0 100 5 200 a) Plot the raw data as a continuous line. 10 450 15 950 20 2000 25 5000
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Please use matlab.
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- Write an order to generate binomial data with the number of observations (n) being 50, the number of trials (size) being 5 and the probability of success being 0.5, then storing the results in the binomial data matrix, with the number of columns being 5.A data set has 4 columns--index, CUSTOMER_EMAIL, Net Revenue, and Year. For each year we need the following information: New Customer Revenue e.g., new customers not present in previous year only Lost Customers New Customers Total Customers Previous Year Total Customers Current Year Please implement it using python.In R please provide the code and explanation for the following One Way ANOVA with the coagulation data seta. Load the coagulation data set (it is from the faraway library)b. Data Summaries & Assumption Check i. Use the names() function to identify the column names ii. How many rows of data are there? iii. Create a single graph with 4 boxplots on the same scale, one for the coagulation for each of the diets. Each boxplot should be a different color. Use the plot function for this task.colNameData is the name of the column in the data set that you want to create a boxplot forcolNameCategory is the name of the column that you want to use to split the data into groups (so you want one boxplot for each category/value in this column)dataset is the name of the full dataset col=2:4 will give you 3 different colors (color indices are 1-8, then they repeat) iv. Create 4 different data frames, one for the data corresponding to each of the 4factors. How many observations are there for…
- 3. Create a table for student mark list and insert the values for name, id, m1,m2,m3,m4,m5, total and grade of each student. Calculate the grades using “if else / nested if” statement and display the total no. of student, total marks and grade of each student.Output:Total 5 Students Student:Kavita, Marks:98 Student:Pritam, Marks:97 Student:Ayan, Marks:78 Student:Rishav, Marks:87 Student:Aziz, Marks:92 Do it in oracle sqlUse the R data set “anscombe” and answer the following questions. a. Save a subset of all the columns of the data except x4 and y4. Use this subset for the rest of the questions below. b. Add two new columns to the subset from (a) above as follows. i. Directly (i.e. do not use cbind() function) add a column of random values from a normal distribution with mean of 100 and standard deviation of 5. Use set.seed(1) in the previous line for reproducibility. ii. Using the cbind() function add a column consisting of the following as the data: 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0. c. Remove column y3. d. Using subset function remove columns x2, y1 and y2 e. Add the following two new rows to the data frame using the appropriate bind function Change the data type of the new column from (b) (i) to integer and that from (b)(ii) to binary. g. Change the names of the first two columns to 'q1x1' and 'q1x3'.Python(multiple linear regression using Ordinary Least Square method) Question: Implement multiple linear regression using Ordinary Least Square method from scratch in Python. ****You are required to at least write your own the fit(), predict(), r2_score() method. Use the following dataset: titanic_train.csv, titanic_test.csv (both can be found online ,files are large so can't attach) Target: Predict whether or not the passenger survived the sinking of the Titanic. Remove unnecessary features if any. Note: do not copy paste any answer available online or in archive I want a personalised answer from an expert do display the output of an running program add comments for better understanding of solution
- Please correct the answer for column Ea%.For 1st iteration it will display "---" For 2nd iteration, 1.0333-1/1.0333 times 100 = 3.22, For 3rd iteration, 1.0641-1.0333/1.0641 times 100 = 2.89. As observed for Ea the values used are from the previous row. The output table at inputs 1,5,4 is: The code: #include <iostream> #include <math.h> #include<iomanip> #include<chrono> #include <cstdlib> using namespace std::chrono; using namespace std; static double function(double x); // function f(x) void menu(); int main() { double a; // Lower Guess or beginning of interval double b; // Upper Guess or end of interval double c = 0; // variable for midpoint double terms; double newc; // Taking Input cout << "Enter Xn-1: "; cin >> a; cout << "\nEnter Xn: "; cin >> b; cout << "\nEnter number of iterations: "; cin >> terms; // Check for opposite sign (Intermediate Value Theorem)…The accompanying Homeownership spreadsheet contains a partially completed spreadsheet model for computing the monthly costs of home ownership. Complete the spreadsheet model by inserting the formulas for monthly mortgage payment, monthly property tax, monthly homeowner insurance premium, monthly maintenance costs , and total in the appropriate cells. Variables: House value: $ 450,000.00 Interest rate: 4.25% Down payment (% of house value): 20% Number of years: 30 Property tax rate: 1.25% Annual homeowner insurance premium: $ 1,400.00 Maintenance cost rate (% of house value): 1% Monthly Cost of Home Ownership Monthly mortgage payment: Monthly property tax: Monthly homeower insurance premium: Monthly maintenance costs: Total: 1. Is this a deterministic or stochastic model? 2. Which of the following is NOT an input of the spreadsheet model? A. Interest rate B. Monthly mortgage payment C. Number of years of…In BLAST search, the Expected value is the number of nucleotide M in the query sequence multiply by the number of nucleotides N in total in the nucleotides sequence database and consecutively multiplied by the p value for the random match distribution. The Expected value means the number of random matches you may encounter in a database search as you do. A query sequence is 96 nucleotide long is used to search a nucleotide database that contained 5 X 10 ^7 nucleotides (that is: 5 time 10 to the power of 7), and the p value to find an exact match is 2 X 10 ^ (-9). What is the expected value? (precision to 0.00001)
- Please use the above sequence of random variables to generate 5 samples from the Bayesian network and then use your samples to answer the following query: P(S = s1|L = l1) =please don't copy the answer cuz its not right and clrearONLY DO QUESTIONS 6-8 PLEASE Question 4 (COMPLETE: ''' 4. Let's find the "fireball" sighting(s) that lasted more than ten seconds in US. Print the the datetime and state of each. Put the data in "fball" and print the result. Note: Consider only the US sightings stored in "sightings_us". - Cast the duration in seconds to a float (decimal). - Check if duration is greater than 10. - Check if the shape is "fireball". ''' def is_valid_duration(duration_as_string): #eliminate duration values that don't have a valid duration # your code here try: duration = float(duration_as_string) except ValueError: return False else: return duration fball = [] # iterate through the sightings_us fball = [row for row in sightings_us if is_valid_duration(row["duration (seconds)"]) > 10 and row["shape"] == "fireball"] # output printing for row in fball: print(row['datetime'], row['state']) Question 5 (COMPLETE) ''' 5. Sort the above list by duration.…