Publications by Sefli

Week5_sefli(20184920001)

05.10.2020

1 General Optimization In mathematics, nonlinear programming (NLP) is the process of solving an optimization problem where some of the constraints or the objective function are nonlinear. An optimization problem is one of calculation of the extrema (maxima, minima or stationary points) of an objective function over a set of unknown real variables...

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Week4_Sefli_20184920001

27.09.2020

# Introduction As a data scientist you probably retain or reject hypothesis based on measurements of observed samples. The decision is often based on a statistical mechanism called hypothesis testing. Let’s watching the following video: There are three conditions of having hypothesis testing included: Left Tailed Test: When the \(\bar{x}\) i...

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Tugas week4_Sefli

25.09.2020

1 Bisection Method The bisection method is another approach to finding the root of a continuous function \(f(x)\) on an interval \([a,b]\). The method takes advantage of a corollary of the intermediate value theorem called Bolzano’s theorem which states that if the values of \(f(a)\) and \(f(b)\) have opposite signs, the interval must contain a...

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week3_sefli_optimasi

18.09.2020

## The Problem Suppose a farmer has 75 acres on which to plant two crops: wheat and barley. To produce these crops, it costs the farmer (for seed, fertilizer, etc.) $120 per acre for the wheat and $210 per acre for the barley. The farmer has $15000 available for expenses. But after the harvest, the farmer must store the crops while awaiting avou...

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week 2 probability distributions

14.09.2020

1 Binomial Distribution 1.1 Question What is a binomial distribution in Statistics? What is binomial distribution used for? Please argue 4 requirements needed to be a binomial distribution? Is a binomial distribution a normal distribution? Suppose there are twenty multiple choice questions in an Statistics class quiz. Each question has five pos...

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week3_sefli_computation

21.09.2020

1 Brief Introduction Please watching this video, to get some ideas about Confidence Intervals (CI) 2 CI in Business This video guide you, how can you apply Confidence Intervals in Business. 3 Your Exercise In this section, your expected to get familiar with confidential intervals exercise: 3.1 Exercise 1 Find a point estimate of average univer...

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komputasi statistika

12.10.2020

1 Exercise 1.1 Exercise 1 We have a chi-squared value of 5.55. Since we get a p-Value less than the significance level of 0.05, we reject the null hypothesis and conclude that the two variables are in fact dependent. 1.2 Exercise 2 Find out if the \(cyl\) and \(carb\) variables in \(mtcars\) dataset are dependent or not. Let’s have a look the...

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Anova_Sefli

24.11.2020

1 One Way Anova In this exercise you have to consider data set named PlantGrowth from R environment. It contains the weight of plants obtained under a control and two different treatment conditions. Please consider the following steps: 1.1 Data Preparation (One-way ANOVA) Here we use the built-in R dataset named PlantGrowth. It contains the weig...

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SEFLI

19.11.2020

1 Exercise 1 One-way ANOVA In this exercise you have to consider data set named PlantGrowth from R environment. It contains the weight of plants obtained under a control and two different treatment conditions. Please consider the following steps: 1.1 Data Preparation (One-way ANOVA) Here, i’ll use the built-in R data set named PlantGrowth. It ...

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Sefli(20184920001)

19.11.2020

Evaluating equation (3.4) with \(N1,2,\hat{x}_{1,2} and s_{1,2}\) gives a t-value of \(t_{1,2}=-2.740403\). The following R-snippet shows how the two samples were generated and how the t-value was calculated with the user function \(“t.val()”\) (note that both samples truly differ by \(Δμ=5\) with “true” uncertainty \(σ=5\)). rm(list=...

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