DanielTLis4273

Daniel Tafmizi Lis 4273 Dr. Ajani  February 23, 2024 Module 7 Assignment Question 1) x <- c(16, 17, 13, 18, 12, 14, 19, 11, 11, 10) y <- c(63, 81, 56, 91, 47, 57, 76, 72, 62, 48) Y = a + bX +e 1.1 Define the relationship model between the predictor and the response variable: model <- lm(y~x)  R equation for x,y relationship. Y is the target, x is the predictor   Relationship Model :  Y = 19.206 + 3.269X, RSE =10.48 the relationship has a positive correlation 1.2 Calculate the coefficients? summary(model)  gives information about the relationship model regression coefficient = 3.269, intercept coefficient = 19.206 question 2) discharge <- c(3.600,1.800,3.333,2.283,4.533,2.883) waiting <- c(79,54,74,62,85,55) visit <- data.frame(discharge, waiting) model2 <- lm(discharge ~ waiting, data=visit) summary(model2) Relationship Model : Y= -1.53317 + 0.06756X, RSE = 0.4724, the relationship has a positive correlation coeffs = coefficients(model2); co...

Daniel Tafmizi Lis 4273 Dr. Ajani  February 18, 2024 Module 6 Assignment #A) Consider a population consisting of the following values, which represents the number of  #ice cream purchases during the academic year for each of the five housemates.8, 14, 16, 10, 11 iceCream <- c(8,14,16,10,11) #Creates numerical vector #b. Select a random sample of size 2 out of the five members.  #See the example I used in my Power-point presentation slide # 13. randomSample <- sample(iceCream, 2) #Gets random sample of two values 10 & 8 were chosen # c. Compute the mean and standard deviation of your sample. mean(randomSample) # mean of sample = 9 sd(randomSample) # standard deviation of sample = 1.414214 mean(iceCream) # mean of population = 11.8 sd(iceCream) # standard deviation of population = 3.193744 #d. Compare the Mean and Standard deviation of your sample to the entire population of this set (8,14, 16, 10, 11). # The random sample taken chose the two lowest values of the ...

Daniel Tafmizi Lis 4273 Dr. Ajani  February 11, 2024 Module 5 Assignment 1 ) The director of manufacturing at a cookies company needs to determine whether a new machine is able to produce a particular type of cookies according to the manufacturer's specifications, which indicate that cookies should have a mean of 70 and standard deviation of 3.5 pounds. A sample of 49 cookies reveals a sample mean breaking strength of 69.1 pounds. A.   Null Hypothesis: The new machine falls within the manufacturers' specifications for cookie breaking strength. Alternative Hypothesis: The new machine does not fall within the manufacturers' specifications for cookie breaking strength. B.  Is there evidence that the machine is not meeting the manufacturer's specifications for average strength? Use a 0.05 level of significance.  No, the new machine is meeting the manufacturers' specifications. C.  Compute the p value and interpret its meaning The P-value is .0719, which is greater t...

 Daniel Tafmizi Lis 4273 Dr. Ajani  February 4, 2024 Module 4 Assignment Question A) A1: 33% A2: 33% A3: 66% A4: 55% Question B)  Trick question, Jane is getting married not Marie and wow is my brain hurting. Jokes aside, I believe this answer is True. We are looking to see if it will rain based on the weatherman's report. We need to get the value of the weatherman's conditional probability, which is seen in (0.014)(0.9). Then we need to see how his predictions play out in the real world through prior probability, which is seen in [ (0.014)(0.9) + (0.986)(0.1) ]. Dividing these gives us our probability that the weatherman is right .1 out of .986 is much greater than .9 of .014. Thus it stands to reason that the probability would be low. Bayes' theory is cool and I would like to spend more time with it. Question C) > dbinom(x=10, size=10, prob=.2) [1] 1.024e-07

 Daniel Tafmizi Lis 4273 Dr. Ajani (Sorry for calling you Friedman twice, it is my pleasure to have another class with you:) January 28, 2024 Module 3 Assignment Question 3: The central tendency measures show a similarity between set 1 and set 2. The numbers in set 2 are each 10 greater than in set 1. Thus, the measures of central tendency of set 2 are each 10 greater than Set 1. This relationship is caused by the distribution and similarity of the numbers.  The variation measures follow a similar path as the central tendency measures. The range, IQR, variance, and standard deviation are the same between the two sets. The quantile follows the same path as the central tendency measures, in which the numbers in set 2 are each 10 greater than in set 1. The variance and SD are the same because the dispersion of the integers is the same.  I am starting to get used to R. It seems to be a better solution than my graphing calculator. Oh, how I dreaded using that calculator. My pr...

Daniel Tafmizi Lis 4273 Dr. Friedman January 20, 2024 Module 2 Assignment assignment2<- c(6,18,14,22,27,17,22,20,22) myMean <- function(assignment2) {return(sum(assignment2)/length(assignment2))} myMean(assignment2) [1] 18.66667 This function found the mean average of the assignment 2 vector. This function consists of the name (myMean), the body (data from assignment 2), and the set of arguments(sum/length). It returns the sum of the values in assignment 2, and then divides it by the length (number of values) in assignment 2.

Daniel Tafmizi LIS 4273 Dr. Friedman January 10, 2024 First Day Assignment 1.  This application is nice. It feels like a regular word-processing app. It is also free. 2.  The R console download was quick. A little bit sketchy, made me double-check check I had a recent recovery drive set up. The Rstudio download was quick as well. Less sketchy looking. There are a lot of buttons. 3.  The Syllabus seems straightforward. I am excited to start my journey of understanding the learning outcomes.  4. Statistics: Statistics is the mathematical process of collecting and defining data to form rational inferences. It is an efficiency practice that allows large sets of data to be more easily interpreted. Analytics: I do not have a strong understanding of analytics. After some research, I am confused about the difference between statistics and analytics. It seems analytics is used more in the business side of things. Where the datum is used to form rational inferences that busine...