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I am working on my 3rd assignment for STAT 200 and having a hard time comprehend what is being asked University of Maryland University College

I am working on my 3rd assignment for STAT 200 and having a hard time comprehend what is being asked

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University of Maryland University College STAT200 - Assignment #2: Descriptive Statistics Analysis and Writeup Identifying Information Student (Full Name): John Bishop Class: STAT 200 Instructor: Date:9/14/19 Introduction: Use the same scenario you submitted for the first assignment with modifications using your instructor's feedback, if needed. Include Table 1: Variables Selected for the Analysis you used in Assignment #1 to show the variables you selected for analysis. Table 1. Variables Selected for the Analysis Variable Name in data set Description Type of Variable (Qualitative or Quantitative) Variable 1: \"Income\" Annual household income in USD. Quantitative Variable 2: \"Martial Status\" Martial Status of head of household Qualitive Variable 3: \"FamilySize\" Total number of people in family to include kids Quantitive Variable 4: (Housing) Total amount of annual income Quantitive Variable 5: (Electricity) Total amount of income needed for Electric Quantitive Data Set Description and Method Used for Analysis: Results: Variable 1: Income STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 1 of 7 Numerical Summary. Table 2. Descriptive Analysis for Variable 1 Variable Variable: Income n 30 Measure(s) of Central Tendency Median: Married - 102,263 Not married - 96,439 Measure(s) of Dispersion Variance: Married - 2.566 Not married: 1.44 Graph and/or Table: Histogram of Income Description of Findings. On average, 60% of Not Married households have a salary range of 96,067 to 97,267 verse 66% of married households have an average between 95,385 to 104,585. The difference is higher amongst larger families. Variable 2: Martial Status STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 2 of 7 Numerical Summary. Table 3. Descriptive Analysis for Variable 2 Variable n Variable 2: \"Martial Status\" 30 Measure(s) of Central Tendency Mode = Married, Not married Measure(s) of Dispersion N/A Graph and/or Table. Description of Findings. Mode = Most repeated number. Both married and not married are 15, I chose mode as my measure of central tendency. The data shows that 50% are married and 50% or not married and the variable is qualitive. Variable 3: FamilySize Numerical Summary. Table 4. Descriptive Analysis for Variable 3 Variable n Measure(s) of Central Tendency Measure(s) of Dispersion STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 3 of 7 Variable 3: \"FamilySize\" 30 Mean: Married = 2.4 Not married = 3.8 Variance: Married = 0.66 Not married = 1.10 Graph and/or Table. Description of Findings. On average 66% of not married households have a smaller family size between 1-3 kids appose to 93% of married households have 2-6 kids. STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 4 of 7 Variable 4: (Housing) Numerical Summary. Table 5. Descriptive Analysis for Variable 4 Variable N Variable 4: (Housing) 30 Mean/Median Mean = Married - 18,485 Unmarried - 25,315 St. Dev. Variance: Married - 2.57 Not Married - 4.93 Graph and/or Table. Description of Findings. On average not married households, 73% spend 18,359 or more on housing, while 60% of married households spend 25,314 or more on housing. Variable 5: Electricity Numerical Summary. Table 6. Descriptive Analysis for Variable 5 Variable Variable 5: (Electricity) n 30 Measure(s) of Central Tendency Mean: Married - 1,463 Not married - 1,400 Measure(s) of Dispersion Variance: Married - 8.78 Not Married - 0.005 Graph and/or Table. STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 5 of 7 Description of Findings. On average not married households, 46% spend 1,461 or more on electricity, while 26% of married households spend 1,457 or more on electricity. Discussion and Conclusion. Briefly discuss each variable in the same sequence as presented in the results. What has the highest expenditure? What variable has the lowest expenditure? If you were to recommend a place to save money, which expenditure would it be and why? Note: The section should be no more than 2 paragraphs. The one with the highest expenditure is housing, with a mean of 18,485 for \"Married\" households and 25,315 for \"Not Married\" households. The variable with the lowest expenditure is \"Electricity\" with a mean of 1,463 for \"Married\" households and 1,400 for \"Not Married\" household. I chose to compare the differences in expenses from married/unmarried households, I assumed that married households would spend more money on housing and electricity. What I found was that STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 6 of 7 unmarried households spend more on housing than electricity and married households spend more on electricity than housing. I would recommend not married households save money in housing, married couples spend an average of (18%) or $18,485 of their annual salary for housing as unmarried household spends and average of (26%) or $25,315 of their annual salary for housing. I think this could be due to a married household having a mortgage verse unmarried household renting. I would recommend the unmarried household set a goal to lower their housing cost at least 8% if possible. STAT200: Assignment #2 - Descriptive Statistics Analysis Writeup - Template Page 7 of 7 Assignment #3: Inferential Statistics Analysis and Writeup Identifying Information Student (Full Name): Class: Instructor: Date: Part A: Inferential Statistics Data Analysis Plan and Computation Introduction: Variables Selected: Table 1: Variables Selected for Analysis Variable Name in the Data Set Variable Type Variable 1: Socioeconomic Variable 2: Expenditure Variable 3: Expenditure Description Qualitative or Quantitative Data Analysis: 1. Confidence Interval Analysis: For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method) and complete the following table: Table 2: Confidence Interval Information and Results Name of Variable: State the Random Variable and Parameter in Words: Confidence interval method including confidence level and rationale for using it: State and check the assumptions for confidence interval: Method Used to Analyze Data: STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup Page 1 of 4 Find the sample statistic and the confidence interval: Statistical Interpretation: 2. Hypothesis Testing: Using the second expenditure variable (with socioeconomic variable as the grouping variable for making two groups), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample hypothesis testing method) and complete the following table: Table 3: Two Sample Hypothesis Test Analysis Research Question: Two Sample Hypothesis Test that Will Be Used and Rationale for Using It: State the Random Variable and Parameters in Words: State Null and Alternative Hypotheses and Level of Significance: Method Used to Analyze Data: Find the sample statistic, test statistic, and p-value: Conclusion Regarding Whether or Not to Reject the Null Hypothesis: Part B: Results Write Up Confidence Interval Analysis: Two Sample Hypothesis Test Analysis: Discussion: STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup Page 1 of 4 STAT200 Introduction to Statistics Dataset for Written Assignments Description of Dataset: The data is a random sample from the US Department of Labor's 2016 Consumer Expenditure Surveys (CE) and provides information about the composition of households and their annual expenditures (https://www.bls.gov/cex/). It contains information from 30 households, where a survey responder provided the requested information; it is all self-reported information. This dataset contains four socioeconomic variables (whose names start with SE) and four expenditure variables (whose names start with USD). Description of Variables/Data Dictionary: The following table is a data dictionary that describes the variables and their locations in this dataset (Note: Dataset is on second page of this document): Variable Name Location in Dataset Variable Description Coding UniqueID# First Column Unique number used to identify each survey responder Each responder has a unique number from 1-30 SE-MaritalStatus SE-Income SE-AgeHeadHousehold SE-FamilySize Second Column Third Column Fourth Column Fifth Column Not Married/Married Amount in US Dollars Age in Years Number of People in Family USD-Annual Expenditures USD-Housing USD-Electricity USD-Water Sixth Column Seventh Column Eighth Column Ninth Column Marital Status of Head of Household Annual Household Income Age of the Head of Household Total Number of People in Family (Both Adults and Children) Total Amount of Annual Expenditures Total Amount of Annual Expenditure on Housing Total Amount of Annual Expenditure on Electricity Total Amount of Annual Expenditure on Water Amount in US Dollars Amount in US Dollars Amount in US Dollars Amount in US Dollars How to read the data set: Each row contains information from one household. For instance, the first row of the dataset starting on the next page shows us that: the head of household is not married and is 59 years old, has an annual household income of $94,929, a family size of 2, annual expenditures of $55,247, and spends $18,483 on housing, $1,451 on electricity, and $546 on water. UniqueID# SE-MaritalStatus SE-income SE-AgeHeadHousehold SE-FamilySize USD-AnnualExpenditures USD-Housing USD-Electricity USD-Water 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Not Married Married Married Married Married Married Married Married Married Married Married Married Married Married Married Married 94929 96621 96664 96522 96697 96727 94867 96690 97469 96886 95744 96572 95366 97912 96928 114051 106627 109312 103144 111195 112559 97835 100693 95385 100350 95922 96207 97663 100565 97977 59 54 53 43 49 39 60 57 35 44 52 59 48 49 43 42 56 37 29 30 39 30 42 50 31 55 27 51 18 44 2 2 3 4 2 2 1 2 4 2 4 2 2 1 3 5 3 6 5 5 3 5 2 4 5 3 3 3 3 2 55247 55746 55558 56152 56453 56440 55512 56097 54929 55321 55963 56515 57082 55704 55932 84486 82676 80801 75393 80865 80934 77765 73294 74110 73771 72228 74620 72971 69203 73198 18483 18149 18502 18483 18520 18376 18633 18334 18514 18312 18435 18648 18576 18619 18701 25728 22414 25392 26322 25018 25531 27949 26102 22847 26853 22996 28491 23150 27950 22990 1451 1455 1478 1457 1469 1441 1485 1453 1451 1450 1465 1480 1478 1450 1479 1452 1688 1514 1386 1481 1504 1297 1354 1302 1405 1326 1310 1320 1358 1298 546 540 553 537 545 542 523 535 565 523 555 552 538 553 520 818 709 743 626 796 794 641 597 684 585 674 588 689 626 696

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