Non Parametric Statistics in Californian Households Discussion

Non Parametric Statistics in Californian Households Discussion ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Non Parametric Statistics in Californian Households Discussion You have to use r to finish this report which is about two independent sample hypothesis test. I will provide you the lecture note and sample code. Trust me it pretty simple if you read the sample code and understand the lecture. It takes only about 1 hour to do the project. My only requirement is that you are familiar with Rstudio and you must be proficient in statistic. Non Parametric Statistics in Californian Households Discussion sta_104_fall_2020_project_i.pdf STA 104 Exam I Project, due Friday, October 30th at 6:00pm CA time Read the following instructions carefully: ˆ You may work in a group of two, or by yourself. ˆ Unlike the homework, you are not allowed to discuss the questions with anyone other than the instructor or TA and your groupmate. ˆ Any outside help beyond that from the instructor or TA is considered plagiarism. This including asking a tutor, your classmates (for example, comparing answers), posting the questions to homework help sites, etc. Should we believe you have sought outside help, you will be reported to the Student Judicial Affairs office. ˆ You are allowed to use or modify your previous functions, or the instructor’s functions that are posted online. ˆ Do not share answers, or specific values for calculations, particularly on Piazza. ˆ You may ask clarifying questions about code and general approach on Piazza, but do not give away any numerical answers. If you are concerned you may be giving something away, email me or the TA’s directly. ˆ Submit a single group submission on Canvas. This also means you and your partner will get the same grade (assuming you have a partner). You are responsible for your own work, and your partner’s work. Non Parametric Statistics in Californian Households Discussion 1 The group (of one or two people) will address the two following topics: Topic I The federal government is deciding how much it should budget for food stamps for single Californian households for the year. Single households qualify for food stamps if their yearly income is 25000 or below. Monthly allotment for a single-person household in California is 200 dollars. The government wants to know, among other helpful descriptive statistics and data analysis, what percent of single Californian households qualify for food stamps, and what is the range of dollars they can expect food stamps (for single Californian households) to cost them. There are about 3.7 million single Californian households. A random sample of 500 single Californian households was obtained and their incomes recorded. The dataset incomes.csv contains the incomes of these 500 households, in thousands of dollars. Please provide a report to advise the government. Topic II The data is found in the file drug.csv, with the following columns: Column 1: Hours: The number of hours of perceived effectiveness. Column 2: Drug: Brand name of drug. The study was comparing the hours of allergy relief for two common over-the-counter allergy medications, HivesAway and PollenBGone. Compare the two groups, being as specific as you can about your outcome. 2 3. The Report Format Each question should be a short report. This means you write in full sentences, and have the following sections for each question, while being as specific as you can about your results. There should not be any “copy and pasted” R code in this report. You must format the results you get from R. I. Introduction. State the question you are trying to answer, why it is a question of interest (why might we be interested in the answer), and what statistical technique you are going to use. This must be a non-parametric technique. II. Summary of your data (and only the data you are using for the question). This should include things like plots (histograms, boxplots) including the interpretation of the plots, and summary values such as sample means and standard deviations. This is where you should justify which non-parametric technique you are using. An R handout is available online for graphing and summaries of various data types. III. Analysis. Report back confidence intervals, test-statistics, and p-values, nulls and alternatives, etc. You may use tables here, but be sure that you organize your work. Remember to write your results in full sentences where possible. Non Parametric Statistics in Californian Households Discussion IV. Interpretation. State your conclusion, and inference that you may draw from your corresponding tests or confidence intervals. These should all be in terms of your problem. V. Conclusion. Summarize briefly your findings. Here you do not have to reiterate your numeric values, but summarize all relevant conclusions. VI. Contributions. If you’re in a group, briefly list the parts of the report that you individually contributed to. 4. Details Your report should be the following format: i. Typed. ii. A title page/large header including your name/s, the name of the class, and the name of your instructor (me). iii. Treat each question as a small, standalone report. iv. An appendix of your R code used to produce the results. Do not include any R code in the body of your report. For example, your project should be put together in the following order: Cover Page Parts I-V for first question Parts I-V for second question Code appendix 3 …Non Parametric Statistics in Californian Households Discussion Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10

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