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2.) Do majority of contra costa residents support death penalty? 3.) Do more than 40% of the Pittsburg residents like panda express? B. Introduction /
2.) "Do majority of contra costa residents support death penalty?\" 3.) "Do more than 40% of the Pittsburg residents like panda express?\" B. Introduction / Thesis Statement (Mo word limit): Write a paragraph explaining why you chose that particular data. You can also explain its significance in society or how/why it's interesting to you. The purpose of Introductiond Thesis Statement is to explain what this research iz all about. C. Data Gathering (Maximum 300 words): Describe how you obtained the data. If you got it from Statcrunch explain the possible lurking variables if you conducted your own survey, explain how yvou did your best to conduct it SRS and pozsible lurking variables. D. Data Summary (Maximum 300 words): Using Statcrunch, create a piechart or bar graph to summarize the necessary proportions/ percentages. Describe your data using course vocabulary. (STAT>graph>pie chart~with data) Mote: If you conducted your own survey, you need to type-in your data into Statcrunch spreadsheet. Don't forget to save it E. Hypothesis Test (No word limit): Perform the four-step hypothesis Test (One-Sample Proportion Test) . Step 1: State Hypotheses = Indicate both Ho and Ha Step 2: Collect Data = Describe your data in a sentence and don't forget to conduct a normality check (np =10 and n{1-p}=10) Step 3: Assess Data = Use Statcrunch to conduct a hypothesis test: Stat=Proportion Stat=One Sample>With Data. Check also to include p- value plot. Step 4: Write an appropriate conclusion. Use 5% level of significance (alpha) Mote: for step 3, attach both the p-value graph and the result of the hypothesis test. This should be your step 3. F. Confidence Interval (300 word limit): Use Statcrunch to verify your results by calculating a 95% confidence interval to estimate the true proporiion of the parameter based on your research quastion: Stat>Proportion Stat>One Sample=with Data=({click perform: confidence interval for p) Write your conclusion, | am 95% confident that the frue proportions percentage of...\" PART 2: Research #2 (Quantitative : One-sample T-Test) A. Research Question: Research Question: As indicated in our lesson, a hypothesis test question is a "yeso" question. Create a yeso question based on your data. If you are having problems with writing a research question, please ask Professor Ramos to assist you. Examples of such yeso questions are as follows: 1) "Is the average hours of sleep of LMC students less than 6 hours?" 2) "Is the average scholarship grant received by LMC students more than $2000?" B. Introduction / Thesis Statement (No word limit): This is similar to Part 1B. If the data is from the same source, you can copy paste the exact same answer in Part 1B here. Otherwise, feel free to write a paragraph explaining why you chose that particular data. You can also explain its significance in society or how/why it's interesting to you. The purpose of Introduction/ Thesis Statement is to explain what this research is all about. C. Data Gathering (Maximum 300 words): This is similar to Part 1C. If the data is from the same source, you can copy paste the exact same answer in Part 1C here. Otherwise, feel free to write a paragraph explaining why you chose that particular data. You can also explain its significance in society or how/why it's interesting to you. The purpose of Introduction/ Thesis Statement is to explain what this research is all about. D. Data Summary (Maximum 300 words): Create a histogram or dotplot or boxplot for your chosen variable: Graph>(choose the type). Describe the distribution using shape, center, spread, and/or outlier. E. Hypothesis Test (No word limit): Perform the four-step hypothesis Test (T-Test) : Step 1: State Hypotheses - Indicate both Ho and Ha Step 2: Collect Data - Describe your data in a sentence and write the conditions for t-test. Note that since n = 30 or higher, this should automatically pass the normality check. Step 3: Assess Data - Use Statcrunch to conduct a hypothesis test: Stat>T- Stats>One Sample>With Data. Check also to include p-value plot. Step 4: Write an appropriate conclusion. Use 5% level of significance (alpha) Note: for step 3, attach both the p-value graph and the result of the hypothesis test. This should be your step 3. F. Confidence Interval (300 word limit): Use Statcrunch to verify your results by calculating a 95% confidence interval to estimate the true proportion of the parameter based on your research question: Stat>T-Stats>One Sample>with Data>(click perform: confidence interval for u) Write your conclusion, "I am 95% confident that the true proportion/ percentage of..." 3PART 3: Summary (Mo word limit) Summarize all your findings in a single paragraph. This part will mention similar statements from your previous conclusions. Your goal is to explain both research questions to a level where an ordinary person can understand. Make sure you interpret the results in the context of the problem using appropriate vocabulary. Explain the meaning of statistically significant result, confidence level, and p-value in context in case you have not done that. Consider this step as an over-all summary that ties in with your eriginal thesis statement. You can also add any comment you have observed that is worth noting. FINAL PROJECT GUIDE/ OUTLINE Math 110/110S (Introduction to Statistics) This set of guidelines is for your Final Statistics Project. This is NOT your final examination, but instead one of the final requirements of this course. However, this project is due on final exam day. This guide is more of a checklist of steps you need to accomplish. You may follow the format provided here or you can be more creative. As long as you fulfill ALL of the requirements, you should be able to eam all of the necessary points. Members: You can work individually or with a group. Only a maximum of 3 members are allowed for the final project group. STEP 1: Search for appropriate data. You need a set of data that contains both guantitative variable (number measurements) and categorical variable (groups or labels). Also make sure there are at least n=30 individuals in the sample. You have three possible sources of such data: (1) Our own Statcrunch data- My groups>Math110 Los Medanos College (Professor Ramos) (2) Statcrunch- Data Sets>(Use the search bar to look for data that you want, e.qg. \"nursing"\animal gestation longevity baboon 187 20 bear, black 219 18 bear, grizzly 225 25 bear, polar 240 20 beaver 122 5 buffalo 278 15 camel 406 12 cat 63 12 chimpanzee 231 20 chipmunk 31 6 cow 284 15 deer 201 8 dog 61 12 donkey 365 12 elephant 645 40 elk 250 15 fox 52 7 giraffe 425 10 goat 151 8 gorilla 257 20 guinea pig 68 4 hippopotamus 238 25 horse 330 20 kangaroo 42 7 leopard 98 12 lion 100 15 lion monkey moose mouse opossum pig puma rabbit rhinoceros sea lion sheep squirrel tiger wolf zebra 100 164 240 21 15 112 90 31 450 350 154 44 105 63 365 15 15 12 10 12 15 12 12 10 16 15
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